* installing *source* package 'glmmrBase' ...
** this is package 'glmmrBase' version '1.2.0'
** using staged installation
Warning message:
In .warning_nowrite(file.path(basename(pkgdir), ...)) :
  'glmmrBase/src/Makevars.win' already exists.  Not overwritten by rstantools.FALSE
** libs
specified C++17
using C++ compiler: 'g++.exe (GCC) 14.3.0'
using C++17


g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3  -D_HAS_AUTO_PTR_ETC=0 -fno-math-errno -O3 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.6/BH/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.6/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.6/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS      -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c RcppExports.cpp -o RcppExports.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from RcppExports.cpp:4:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from 'class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >'
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:1738:76:   required from here
 1738 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type xb(xbSEXP);
      |                                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from 'class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, 1> >'
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:1738:76:   required from here
 1738 |     Rcpp::traits::input_parameter< const Eigen::VectorXd& >::type xb(xbSEXP);
      |                                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/InputParameter.h:77:11:   required from 'class Rcpp::ConstReferenceInputParameter<Eigen::Matrix<double, -1, -1> >'
   77 |         T obj ;
      |           ^~~
RcppExports.cpp:1739:74:   required from here
 1739 |     Rcpp::traits::input_parameter< const Eigen::MatrixXd& >::type Z(ZSEXP);
      |                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~


g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3  -D_HAS_AUTO_PTR_ETC=0 -fno-math-errno -O3 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.6/BH/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.6/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.6/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS      -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c model_module.cpp -o model_module.o
In file included from ../inst/include/glmmr/model.hpp:4,
                 from ../inst/include/glmmr.h:4,
                 from model_module.cpp:1:
../inst/include/glmmr/general.h:21:9: warning: "EIGEN_DEFAULT_DENSE_INDEX_TYPE" redefined
   21 | #define EIGEN_DEFAULT_DENSE_INDEX_TYPE int
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:19,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:28,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:25,
                 from ../inst/include/glmmr/general.h:10:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/Macros.h:33:9: note: this is the location of the previous definition
   33 | #define EIGEN_DEFAULT_DENSE_INDEX_TYPE std::ptrdiff_t
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/interpreter.h:4,
                 from ../inst/include/glmmr/covariance.hpp:6,
                 from ../inst/include/glmmr/modelbits.hpp:3,
                 from ../inst/include/glmmr/model.hpp:5:
../inst/include/glmmr/calculator.hpp:1212: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
 1212 | #pragma omp parallel for
../inst/include/glmmr/calculator.hpp:1242: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
 1242 | #pragma omp parallel for
../inst/include/glmmr/covariance.hpp:967: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  967 | #pragma omp parallel for
../inst/include/glmmr/covariance.hpp:1097: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
 1097 | #pragma omp parallel
../inst/include/glmmr/covariance.hpp:1101: warning: ignoring '#pragma omp for' [-Wunknown-pragmas]
 1101 | #pragma omp for
../inst/include/glmmr/covariance.hpp:1111: warning: ignoring '#pragma omp for' [-Wunknown-pragmas]
 1111 | #pragma omp for reduction(+:grad_j)
../inst/include/glmmr/covariance.hpp:1122: warning: ignoring '#pragma omp for' [-Wunknown-pragmas]
 1122 | #pragma omp for reduction(+:m_jk)
../inst/include/glmmr/covariance.hpp:1164: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
 1164 | #pragma omp parallel for
In file included from ../inst/include/glmmr/modelbits.hpp:5:
../inst/include/glmmr/nngpcovariance.hpp:269: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  269 | #pragma omp parallel for
../inst/include/glmmr/nngpcovariance.hpp:393: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  393 | #pragma omp parallel for private(idxlim)
In file included from ../inst/include/glmmr/modelbits.hpp:6:
../inst/include/glmmr/ar1covariance.hpp:13: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
   13 | #pragma omp parallel for
../inst/include/glmmr/ar1covariance.hpp:299: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  299 | #pragma omp parallel for
../inst/include/glmmr/ar1covariance.hpp:317: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  317 | #pragma omp parallel for reduction(+:grad_j)
../inst/include/glmmr/ar1covariance.hpp:328: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  328 | #pragma omp parallel for reduction(+:grad_rho)
../inst/include/glmmr/ar1covariance.hpp:350: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  350 | #pragma omp parallel for reduction(+:m_jk)
../inst/include/glmmr/ar1covariance.hpp:365: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  365 | #pragma omp parallel for reduction(+:m_jr)
../inst/include/glmmr/ar1covariance.hpp:378: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  378 | #pragma omp parallel for reduction(+:m_rr)
In file included from ../inst/include/glmmr/model.hpp:6:
../inst/include/glmmr/randomeffects.hpp:76: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
   76 | #pragma omp parallel for
In file included from ../inst/include/glmmr/model.hpp:7:
../inst/include/glmmr/modelmatrix.hpp:1367: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
 1367 | #pragma omp parallel for
In file included from ../inst/include/glmmr/model.hpp:8:
../inst/include/glmmr/modeloptim.hpp:587: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  587 | #pragma omp parallel for
../inst/include/glmmr/modeloptim.hpp:604: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  604 | #pragma omp parallel for if(re.zu_.cols() > 50)
../inst/include/glmmr/modeloptim.hpp:626: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  626 | #pragma omp parallel for reduction (+:logl) if(Lu.cols() > 50)
../inst/include/glmmr/modeloptim.hpp:860: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
  860 |   #pragma omp parallel
../inst/include/glmmr/modeloptim.hpp:863: warning: ignoring '#pragma omp for' [-Wunknown-pragmas]
  863 |   #pragma omp for nowait
../inst/include/glmmr/modeloptim.hpp:867: warning: ignoring '#pragma omp critical' [-Wunknown-pragmas]
  867 |   #pragma omp critical
../inst/include/glmmr/modeloptim.hpp:1372: warning: ignoring '#pragma omp parallel' [-Wunknown-pragmas]
 1372 | #pragma omp parallel for reduction (+:logl) if(Lu.cols() > 50)
../inst/include/glmmr/model.hpp:205:1: warning: multi-line comment [-Wcomment]
  205 | // #pragma omp declare reduction(vec_dbl_plus : std::vector<double> :                                    \
      | ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:29:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/glmmr/algo.h:18:48:   required from here
   18 |                                    const int& n)
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/glmmr/algo.h:18:48:   required from here
   18 |                                    const int& n)
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/glmmr/algo.h:24:16:   required from here
   24 |       lsum += U(i,j) * y(j);
      |               ~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:98:17:   required from here
   98 |     matrix.block(rowToRemove,0,numRows-rowToRemove,numCols) =
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/algo.h:112:23:   required from here
  112 |       matrix.rightCols(numCols-colToRemove);
      |       ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/glmmr/algo.h:123:19:   required from here
  123 |     matrix.segment(elemToRemove,nSize-elemToRemove) =
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:92:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
   92 |             >::type DiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/algo.h:137:62:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/algo.h:137:62:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/algo.h:137:77:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/algo.h:137:112:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:19:   required from here
  110 |     mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
      |           ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:25:   required from here
  110 |     mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
      |           ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:52:   required from here
  110 |     mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:52:   required from here
  110 |     mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
   45 | class Array
      |       ^~~~~
../inst/include/glmmr/maths.h:110:53:   required from here
  110 |     mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:53:   required from here
  110 |     mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:110:62:   required from here
  110 |     mu = (mu.array().exp() / (1.0 + mu.array().exp())).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:113:33:   required from here
  113 |     mu = mu.array().exp().matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<double (*)(double), const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:116:17:   required from here
  116 |     mu.unaryExpr(&gaussian_cdf);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:122:28:   required from here
  122 |     mu = mu.array().inverse().matrix();
      |          ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:122:37:   required from here
  122 |     mu = mu.array().inverse().matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:186:21:   required from here
  186 |     wdiag = xb.array().exp().matrix();
      |             ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:186:27:   required from here
  186 |     wdiag = xb.array().exp().matrix();
      |             ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:186:36:   required from here
  186 |     wdiag = xb.array().exp().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:189:37:   required from here
  189 |     wdiag = xb.array().exp().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:189:46:   required from here
  189 |     wdiag = xb.array().exp().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:204:29:   required from here
  204 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:204:52:   required from here
  204 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:204:61:   required from here
  204 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:208:40:   required from here
  208 |     wdiag = (p.array() * (1 - p.array())).matrix();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:208:49:   required from here
  208 |     wdiag = (p.array() * (1 - p.array())).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:215:69:   required from here
  215 |     wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
      |                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:215:78:   required from here
  215 |     wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:220:52:   required from here
  220 |     wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:220:61:   required from here
  220 |     wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:242:30:   required from here
  242 |     wdiag = xb.array().square().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:242:40:   required from here
  242 |     wdiag = xb.array().square().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:242:49:   required from here
  242 |     wdiag = xb.array().square().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:245:39:   required from here
  245 |     wdiag = xb.array().square().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:280:21:   required from here
  280 |     wdiag = xb.array().exp().matrix();
      |             ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:280:27:   required from here
  280 |     wdiag = xb.array().exp().matrix();
      |             ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:280:36:   required from here
  280 |     wdiag = xb.array().exp().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:283:37:   required from here
  283 |     wdiag = xb.array().exp().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:283:46:   required from here
  283 |     wdiag = xb.array().exp().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:28:   required from here
  298 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                     ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:29:   required from here
  298 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:29:   required from here
  298 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:51:   required from here
  298 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                                  ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
../inst/include/glmmr/maths.h:298:52:   required from here
  298 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:52:   required from here
  298 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:298:61:   required from here
  298 |     wdiag = ((1.0 - p.array()) * p.array().inverse()).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:302:40:   required from here
  302 |     wdiag = (p.array() * (1 - p.array())).matrix();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:302:49:   required from here
  302 |     wdiag = (p.array() * (1 - p.array())).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<double (*)(double), const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Matrix<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:308:19:   required from here
  308 |     pinv.unaryExpr(&gaussian_pdf);
      |     ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:309:69:   required from here
  309 |     wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
      |                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:309:78:   required from here
  309 |     wdiag = ((p.array() * (1.0 - p.array())) * pinv.array().inverse()).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:314:52:   required from here
  314 |     wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:314:61:   required from here
  314 |     wdiag = (p.array() * (1.0 - p.array())).inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:336:30:   required from here
  336 |     wdiag = xb.array().square().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:336:40:   required from here
  336 |     wdiag = xb.array().square().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:336:49:   required from here
  336 |     wdiag = xb.array().square().inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:339:39:   required from here
  339 |     wdiag = xb.array().square().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:383:26:   required from here
  383 |     wdiag = (pinv.inverse()).matrix();
      |              ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:383:36:   required from here
  383 |     wdiag = (pinv.inverse()).matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   68 | class InverseImpl
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::Matrix<double, -1, -1> >'
   43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~
../inst/include/glmmr/maths.h:401:23:   required from here
  401 |     wdiag = xb.inverse().matrix();
      |             ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:43:   required from here
  407 |     wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:44:   required from here
  407 |     wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
      |                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:54:   required from here
  407 |     wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:407:63:   required from here
  407 |     wdiag = (xb.array() * (1.0 - xb.array())).inverse().matrix();
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:436:25:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                    ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/maths.h:436:29:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/maths.h:436:49:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                               ~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/maths.h:436:50:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/maths.h:436:50:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/maths.h:443:34:   required from here
  443 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/maths.h:443:43:   required from here
  443 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:443:72:   required from here
  443 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                               ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:443:90:   required from here
  443 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:447:33:   required from here
  447 |     zprod = zprod.inverse().sqrt();
      |             ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:455:15:   required from here
  455 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:455:15:   required from here
  455 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/maths.h:455:36:   required from here
  455 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/maths.h:455:45:   required from here
  455 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:455:92:   required from here
  455 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:463:22:   required from here
  463 |   return xbnew.matrix();
      |          ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:476:36:   required from here
  476 |     wdiag = mu.array()*(1-mu.array());
      |                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:476:37:   required from here
  476 |     wdiag = mu.array()*(1-mu.array());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:485:49:   required from here
  485 |     wdiag = mu.array()*(1-mu.array())/(var_par+1);
      |                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:21:   required from here
  692 |     logl = (y*mu.log() - mu-lf1).sum();
      |               ~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:22:   required from here
  692 |     logl = (y*mu.log() - mu-lf1).sum();
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:26:   required from here
  692 |     logl = (y*mu.log() - mu-lf1).sum();
      |                          ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:29:   required from here
  692 |     logl = (y*mu.log() - mu-lf1).sum();
      |                             ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:17:   required from here
  698 |     logl = (y * mu - mu.exp() - lf1).sum();
      |                 ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:28:   required from here
  698 |     logl = (y * mu - mu.exp() - lf1).sum();
      |                      ~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:29:   required from here
  698 |     logl = (y * mu - mu.exp() - lf1).sum();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:33:   required from here
  698 |     logl = (y * mu - mu.exp() - lf1).sum();
      |                                 ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:23:   required from here
  708 |     logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
      |                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:40:   required from here
  708 |     logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:46:   required from here
  708 |     logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
      |                          ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:47:   required from here
  708 |     logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:47:   required from here
  708 |     logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:44:   required from here
  711 |     logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
      |                                  ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:45:   required from here
  711 |     logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:45:   required from here
  711 |     logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:720:41:   required from here
  720 |     Eigen::ArrayXd p = (mu.exp().inverse() + 1.0).inverse();
      |                         ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:720:46:   required from here
  720 |     Eigen::ArrayXd p = (mu.exp().inverse() + 1.0).inverse();
      |                                              ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:720:58:   required from here
  720 |     Eigen::ArrayXd p = (mu.exp().inverse() + 1.0).inverse();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:733:72:   required from here
  733 |     Eigen::ArrayXd lfnk = glmmr::maths::log_factorial_approx(var_par - y);
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_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/4.6/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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:25:   required from here
  734 |     logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
      |                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:34:   required from here
  734 |     logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
      |                                  ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:72:   required from here
  734 |     logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:72:   required from here
  734 |     logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:40:   required from here
  742 |     logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:69:   required from here
  742 |     logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
      |                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:69:   required from here
  742 |     logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
      |                                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_log_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/4.6/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::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_log_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:34:   required from here
  773 |     logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:55:   required from here
  773 |     logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
      |                                                       ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:65:   required from here
  773 |     logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
      |                                            ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:84:   required from here
  773 |     logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
      |                                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:84:   required from here
  773 |     logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
      |                                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:59:   required from here
  777 |     logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
      |                                            ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:80:   required from here
  777 |     logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
      |                                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:80:   required from here
  777 |     logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
      |                                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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/4.6/RcppEigen/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:787:36:   required from here
  787 |     Eigen::ArrayXd ymu = var_par*y*mu;
      |                                    ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:797:55:   required from here
  797 |       Eigen::ArrayXd ymu = var_par*y*mu.exp().inverse();
      |                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:817:29:   required from here
  817 |     logl = (mu - y * mu.exp()).sum();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/maths.h:817:29:   required from here
  817 |     logl = (mu - y * mu.exp()).sum();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/maths.h:845:14:   required from here
  845 |     samps.col(i) = z;
      |     ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:52:53:   required from here
   52 |   ArrayXd               variance = ArrayXd::Constant(1,1.0); // variance values
      |                                    ~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:58:46:   required from here
   58 |   MatrixXd              data = MatrixXd::Zero(1,1); // the data for the calculation
      |                                ~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp: In member function 'void glmmr::calculator::update_parameters(const dblvec&)':
../inst/include/glmmr/calculator.hpp:1206:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1206 |   for(int i = 0; i < parameter_indexes.size(); i++)parameters[i] = parameters_in[parameter_indexes[i]];
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:1317:35:   required from here
 1317 |   VectorXd Hmean = H.rowwise().sum();
      |                    ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp: In member function 'void glmmr::calculator::print_instructions() const':
../inst/include/glmmr/calculator.hpp:1477:30: warning: comparison of integer expressions of different signedness: 'const __gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type' {aka 'const int'} and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1477 |         if(indexes[idx_iter] >= parameter_names.size()){
../inst/include/glmmr/calculator.hpp:1492:30: warning: comparison of integer expressions of different signedness: 'const __gnu_cxx::__alloc_traits<std::allocator<int>, int>::value_type' {aka 'const int'} and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1492 |         if(indexes[idx_iter] >= data_names.size()){
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/calculator.hpp:1538:51:   required from here
 1538 |   Rcpp::Rcout << "\nExample data: " << x.transpose() << "\n";
      |                                        ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/formula.hpp:6,
                 from ../inst/include/glmmr/covariance.hpp:7:
../inst/include/glmmr/formulaparse.h: In function 'bool glmmr::is_number(const std::string&)':
../inst/include/glmmr/formulaparse.h:12:11: warning: unused variable 'a' [-Wunused-variable]
   12 |     float a = std::stod(s);
      |           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Array<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/formulaparse.h:51:46:   required from here
   51 |         Xdata.col(calc.data_count) = data.col(column_index);
      |                                      ~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h: In function 'void glmmr::two_way_fn(std::vector<char>&, calculator&, const Eigen::ArrayXXd&, const strvec&, Eigen::MatrixXd&, int, bool)':
../inst/include/glmmr/formulaparse.h:235:19: warning: variable 'variable_in_data' set but not used [-Wunused-but-set-variable]
  235 |   bool add_check, variable_in_data;
      |                   ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/glmmr/linearpredictor.hpp:178:24:   required from here
  178 |     Map<VectorXd> beta(parameters.data(),parameters.size());
      |                        ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:179:15:   required from here
  179 |     xb = X_ * beta;
      |               ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::Array<double, -1, 1> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:212:52:   required from here
  212 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
      |                                   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/linearpredictor.hpp:212:53:   required from here
  212 |   VectorXd xb = newlinpred.xb() + newoffset_.matrix();
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/glmmr/matrixfield.h:47:49:   required from here
   47 |   Eigen::RowVectorXd get_row(int n, int i) const{
      |                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/covariance.hpp:57:22:   required from here
   57 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:69:29:   required from here
   69 |     return Z * matL.matrixL();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:73:29:   required from here
   73 |     return matL.matrixL() * Z;
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseView<Eigen::Matrix<double, -1, -1> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseView.h:45:7:   required from 'class Eigen::SparseView<Eigen::Matrix<double, -1, -1> >'
   45 | class SparseView : public SparseMatrixBase<SparseView<MatrixType> >
      |       ^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:78:43:   required from here
   78 |     SparseMatrix<double> LS = L.sparseView();
      |                               ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:145:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2, Eigen::Sparse>'
  145 | class ProductImpl : public internal::generic_xpr_base<Product<Lhs,Rhs,Option>, MatrixXpr, StorageKind>::type
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:79:16:   required from here
   79 |     return Z * LS;
      |                ^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/covariance.hpp:88:43:   required from here
   88 |     return L.triangularView<Lower>().solve(x);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/covariance.hpp:93:23:   required from here
   93 |     return L.transpose().triangularView<Upper>().solve(x);
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::TriangularView<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 2>, Eigen::Matrix<double, -1, -1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/covariance.hpp:93:55:   required from here
   93 |     return L.transpose().triangularView<Upper>().solve(x);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'virtual int glmmr::Covariance::parse()':
../inst/include/glmmr/covariance.hpp:356:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  356 |         for(k = 0; k < fnvars[idx].size(); k++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:370:17: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  370 |     for(j = 0; j< fnvars.size();j++){
      |                ~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:371:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  371 |       for(k = 0; k < fnvars[j].size();k++){
      |                  ~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:389:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  389 |     for(int m = 0; m < fnvars.size(); m++){
      |                    ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:391:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  391 |       for(int p = 0; p < fnvars[m].size(); p++){
      |                      ~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:398:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<double> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  398 |     for(j = 0; j < groups.size(); j++){
      |                ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:411:26: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  411 |         for(int m = 0; m < vals.size(); m++) vals[m] = data_(k,fnvars[idx][m]);
      |                        ~~^~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:437:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<glmmr::CovFunc> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  437 |     for(int j = 0; j < fn_.size(); j++){
      |                    ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:443:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::CovFunc>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  443 |           for(int k = 0; k < fn_[j].size(); k++) fn_name += covfunc_to_str.at(fn_[j][k]);
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:444:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::CovFunc>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  444 |           for(int k = 0; k < fn_[j].size(); k++){
      |                          ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:468:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<glmmr::CovFunc> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  468 |   for(int i =0; i<fn_.size();i++){
      |                 ~^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:469:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  469 |     for(int j = 0; j < re_pars_[i].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:470:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int k = 0; k < re_pars_[i][j].size(); k++){
      |                      ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:478:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<glmmr::CovFunc> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  478 |   for(int i =0; i<fn_.size();i++){
      |                 ~^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:485:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::CovFunc>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  485 |     for(int j = 0; j<fn_[i].size();j++){
      |                    ~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:489:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::CovFunc>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  489 |     for(int j = 0; j<fn_[i].size();j++){
      |                    ~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:512:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  512 |       for(int k = 0; k < re_pars_[i][j].size(); k++)re_par_less_min_[k] -= minvalue;
      |                      ~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:518:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::CovFunc>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  518 |       for(int j = 0; j < (fn_[i].size()-1); j++){
      |                      ~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:533:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::calculator>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  533 |   for(int i = 0; i < calc_.size(); i++){
      |                  ~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:540:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::calculator>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  540 |   for(int i = 0; i < calc_.size(); i++) re_count_[re_order_[i]] += re_temp_data_[i].size();
      |                  ~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'void glmmr::Covariance::Z_updater()':
../inst/include/glmmr/covariance.hpp:608:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::ZNonZero>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  608 |     for(int i = 0; i < z_nonzero.size(); i++){
      |                    ~~^~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:609:24: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  609 |       for(int j = 0; j < z_nonzero[i].rows.size(); j++){
      |                      ~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'virtual void glmmr::Covariance::update_parameters(const Eigen::ArrayXd&)':
../inst/include/glmmr/covariance.hpp:712:32: warning: comparison of integer expressions of different signedness: 'std::vector<double>::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  712 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/glmmr/covariance.hpp:789:44:   required from here
  789 |   MatrixXd M = Map<MatrixXd>(L.data(), n, n);
      |                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:816:35:   required from here
  816 |       samps.segment(idx,ndim) = L*zz;
      |                                   ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:872:15:   required from here
  872 |   return ZL * u;
      |               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:908:94:   required from here
  908 |         zquad.segment(0,blocksize).noalias() = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
      |                                                                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:909:85:   required from here
  909 |         size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
      |                                                                                     ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'bool glmmr::Covariance::any_group_re() const':
../inst/include/glmmr/covariance.hpp:1018:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<glmmr::CovFunc> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1018 |   for(int i = 0; i < fn_.size(); i++){
      |                  ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'bool glmmr::Covariance::all_group_re() const':
../inst/include/glmmr/covariance.hpp:1031:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<glmmr::CovFunc> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1031 |   for (int i = 0; i < fn_.size(); i++) {
      |                   ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1032:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::CovFunc>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1032 |     for (int j = 0; j < fn_[i].size(); j++) {
      |                     ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'bool glmmr::Covariance::all_log_re() const':
../inst/include/glmmr/covariance.hpp:1042:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<glmmr::CovFunc> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1042 |   for (int i = 0; i < fn_.size(); i++) {
      |                   ~~^~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1043:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::CovFunc>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1043 |     for (int j = 0; j < fn_[i].size(); j++) {
      |                     ~~^~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'bool glmmr::Covariance::any_log_re() const':
../inst/include/glmmr/covariance.hpp:1055:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<glmmr::CovFunc> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1055 |   for(int i = 0; i < fn_.size(); i++){
      |                  ~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:1104:25:   required from here
 1104 |     double qf = vmat.col(i).dot(umat.col(i));
      |                 ~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1114:70:   required from here
 1114 |       grad_j += 0.5 * uweight(i) * (umat.col(i).dot(S[j] * vmat.col(i)));
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/covariance.hpp:1118:25:   required from here
 1118 |       Sprod = S[j] * S[k];
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1133:17:   required from here
 1133 |   gradients.tail(grad.size()) = grad;
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp: In member function 'strvec glmmr::Covariance::parameter_names()':
../inst/include/glmmr/covariance.hpp:1206:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1206 |   for(int i = 0; i < form_.re_.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modelbits.hpp:4:
../inst/include/glmmr/hsgpcovariance.hpp: In member function 'dblvec glmmr::hsgpCovariance::d_spd_nD(int)':
../inst/include/glmmr/hsgpcovariance.hpp:244:25: warning: unused variable 'M_PI2' [-Wunused-variable]
  244 |     const static double M_PI2 = 2 * M_PI;
      |                         ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Array<double, -1, -1>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:71:   required from here
  282 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
      |                                                          ~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:87:   required from here
  282 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:88:   required from here
  282 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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/4.6/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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:106:   required from here
  282 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
      |                                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:38:   required from here
  282 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
      |                                   ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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/4.6/RcppEigen/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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_sin_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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_sum_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, 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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:282:107:   required from here
  282 |   fi1 = (1/sqrt(L_boundary(0))) * sin(indices(i,0)*M_PI*(hsgp_data.col(0)+L_boundary(0))/(2*L_boundary(0)));
      |                                                                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:302:30:   required from here
  302 |     return As * As.transpose();
      |                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:387:24:   required from here
  387 |   VectorXd uquad = u * L;
      |                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:63:   required from here
  388 |   ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:63:   required from here
  388 |   ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
      |                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   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, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:65:   required from here
  388 |   ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
      |                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp: In member function 'void glmmr::hsgpCovariance::gen_indices()':
../inst/include/glmmr/hsgpcovariance.hpp:413:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  413 |   for(int i = 0; i < linspace_vec[0].size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:417:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  417 |   for(int i = 0; i < indices_vec.size(); i++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:418:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  418 |     for(int j = 0; j < indices_vec[0].size(); j++){
      |                    ~~^~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:429:28:   required from here
  429 |   PhiT = Phi.transpose() * Phi;
      |                            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:436:26:   required from here
  436 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
      |               ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:436:35:   required from here
  436 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
      |               ~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:438:36:   required from here
  438 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
      |               ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:438:45:   required from here
  438 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/glmmr/griddata.hpp:12:34:   required from here
   12 |   ArrayXXd X = ArrayXXd::Constant(1,1,1); // centroids
      |                ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/nngpcovariance.hpp:5:
../inst/include/glmmr/griddata.hpp: In member function 'Eigen::ArrayXi glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)':
../inst/include/glmmr/griddata.hpp:37:19: warning: comparison of integer expressions of different signedness: 'std::priority_queue<std::pair<double, int>, std::vector<std::pair<double, int> >, glmmr::griddata::top_i_pq(const Eigen::ArrayXd&, int)::ComparePair>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare]
   37 |     if (pq.size() < n)
      |         ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:41:   required from here
  147 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
      |                         ~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:61:   required from here
  147 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:66:   required from here
  147 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
      |                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:155:26:   required from here
  155 |   return Dvec.array().log().sum();
      |          ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:72:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:185:72:   required from here
  185 |     Dvec(i) = val - (A.col(i).head(idxlim).transpose() * Sv.head(idxlim))(0);
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function 'virtual void glmmr::nngpCovariance::update_parameters(const Eigen::ArrayXd&)':
../inst/include/glmmr/nngpcovariance.hpp:237:32: warning: comparison of integer expressions of different signedness: 'std::vector<double>::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  237 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp: In member function 'void glmmr::nngpCovariance::update_parameters_d(const Eigen::ArrayXd&)':
../inst/include/glmmr/nngpcovariance.hpp:253:32: warning: comparison of integer expressions of different signedness: 'std::vector<double>::size_type' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  253 |   } else if(parameters_.size() == parameters.size()){
      |             ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:268:36:   required from here
  268 |   ArrayXd dsqrt = Dvec.array().sqrt();
      |                   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:281:40:   required from here
  281 |   return y * dsqrt.matrix().asDiagonal();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:68:   required from here
  427 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:214:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                                                                                                                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:214:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                                                                                                                                                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:114:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:103:   required from here
  430 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
      |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:131:   required from here
  430 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
      |                                                                                                                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/glmmr/ar1covariance.hpp:128:27:   required from here
  128 |     Map<const MatrixXd> U(u.col(c).data(), n_A, T);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:131:36:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:135:60:   required from here
  135 |       result.col(c).segment(t * n_A, n_A) = matZ * LU.col(t);
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
../inst/include/glmmr/ar1covariance.hpp:151:59:   required from here
  151 |     result.col(c) = Map<const VectorXd>(LU.data(), n_A * T);
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:171:27:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:172:52:   required from here
  172 |   double qf = (M.array() * ar_factor_inverse.array()).sum();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:175:50:   required from here
  175 |   double logdet_R = 2.0 * ar_factor_chol.diagonal().array().log().sum();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:175:58:   required from here
  175 |   double logdet_R = 2.0 * ar_factor_chol.diagonal().array().log().sum();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:175:64:   required from here
  175 |   double logdet_R = 2.0 * ar_factor_chol.diagonal().array().log().sum();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/ar1covariance.hpp:226:44:   required from here
  226 |   ar_factor_inverse = ar_factor.llt().solve(MatrixXd::Identity(T, T));
      |                       ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:322:56:   required from here
  322 |       grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:333:47:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:333:65:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/ar1covariance.hpp:370:72:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:78:87:   required from here
   78 |       double llmod = maths::log_likelihood(model.data.y.array(),xb + zu_.col(i).array(), model.data.variance,model.family);
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/randomeffects.hpp:99:32:   required from here
   99 |   mergedata.bottomRows(nnew) = newdata_;
      |                                ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:121:35:   required from here
  121 |   result.vec = SSV.rowwise().mean();
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:121:35:   required from here
  121 |   result.vec = SSV.rowwise().mean();
      |                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:122:43:   required from here
  122 |   result.mat -= D12 * D22 * D12.transpose();
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:147:38:   required from here
  147 |     newLuCol = newLu.col(i) - result.vec;
      |                                      ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/randomeffects.hpp:148:50:   required from here
  148 |     result.mat += (newLuCol * newLuCol.transpose());
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:62:29:   required from here
   62 |   W_ = (W_.array()*nvar_par).matrix();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:62:37:   required from here
   62 |   W_ = (W_.array()*nvar_par).matrix();
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:348:20:   required from here
  348 |     M = XtXW * M * XtXW;
      |                    ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:410:60:   required from here
  410 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
      |                                                            ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:410:65:   required from here
  410 |   MatrixXd robust = infomat * SX.transpose() * resid_sum * SX * infomat;//(infomat.rows(),infomat.cols());
      |                                                                 ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:55:   required from here
  485 |               oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
      |                                                       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:63:   required from here
  485 |               oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
      |                                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:77:   required from here
  485 |               oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
      |                                                                             ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:485:86:   required from here
  485 |               oim_adj = (residsub.transpose() * SPS * Ssub2 * SigmaInvsub * residsub)(0);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:533:68:   required from here
  533 |             Mbt.col(i) += Xsub.transpose() * SigmaInvsub * Ssub1 * SigmaInvsub * residsub;
      |                                                                    ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:533:82:   required from here
  533 |             Mbt.col(i) += Xsub.transpose() * SigmaInvsub * Ssub1 * SigmaInvsub * residsub;
      |                                                                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:533:82:   required from here
  533 |             Mbt.col(i) += Xsub.transpose() * SigmaInvsub * Ssub1 * SigmaInvsub * residsub;
      |                                                                                  ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:42:   required from here
  624 |         Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
      |                                          ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:42:   required from here
  624 |         Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
      |                                          ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1, 1, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:42:   required from here
  624 |         Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
      |                                          ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:46:   required from here
  624 |         Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
      |                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -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/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:624:17:   required from here
  624 |         Pmat.sum(i,-1.0*Xsub.transpose()*SPS*Xsub);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:635:18:   required from here
  635 |             Q.sum(counter,Xsub.transpose()*SPS*Ssub2*SigmaInvsub*Xsub);
      |             ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:698:84:   required from here
  698 |         M_theta_kr(i,j) += -1.0*(M*Q(counter)).trace() + 0.5*((M*Pmat(i)*M*Pmat(j)).trace());
      |                                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:729:68:   required from here
  729 |     Moim.bottomRightCorner(Rmod,Rmod) = -1.0*(M_theta + M_theta_oim);
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:729:68:   required from here
  729 |     Moim.bottomRightCorner(Rmod,Rmod) = -1.0*(M_theta + M_theta_oim);
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:87:   required from here
  742 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
      |                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:106:   required from here
  742 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
      |                                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:107:   required from here
  742 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
      |                                                                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:742:107:   required from here
  742 |         meat += M_theta(i,j)*(Q(scnd_idx) + Q(scnd_idx).transpose() - Pmat(i)*M*Pmat(j) -Pmat(j)*M*Pmat(i));//(SigX.transpose()*partial1*PG*partial2*SigX);//
      |                                                                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:751:60:   required from here
  751 |       meat += M_theta(i,i)*(Q(scnd_idx) - Pmat(i)*M*Pmat(i));
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:751:60:   required from here
  751 |       meat += M_theta(i,i)*(Q(scnd_idx) - Pmat(i)*M*Pmat(i));
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:757:26:   required from here
  757 |     M_new = M + 2*M*meat*M;
      |                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:757:26:   required from here
  757 |     M_new = M + 2*M*meat*M;
      |                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:757:26:   required from here
  757 |     M_new = M + 2*M*meat*M;
      |                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:791:51:   required from here
  791 |       V[i] += ((XSXM*SigX.transpose()*S(i)*SigX*M).trace());
      |                                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> >, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:824:37:   required from here
  824 |     Theta = (1/vlb)*(L*L.transpose());
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:832:64:   required from here
  832 |         a2 += mult*M_theta(i,j)*(Theta*Pmat(i)*M*Theta*Pmat(j)*M).trace();
      |                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:832:66:   required from here
  832 |         a2 += mult*M_theta(i,j)*(Theta*Pmat(i)*M*Theta*Pmat(j)*M).trace();
      |                                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:884:73:   required from here
  884 |     for(int i = 0; i < ncol_r; i++) resids.col(i) = yxb - zuOffset.col(i);
      |                                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:892:48:   required from here
  892 |     VectorXd colmeans = resids.colwise().mean().transpose();
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:892:48:   required from here
  892 |     VectorXd colmeans = resids.colwise().mean().transpose();
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:895:59:   required from here
  895 |       std_dev = sqrt((resids.col(i).array() - colmeans(i)).square().sum()/(resids.rows() - 1));
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:895:68:   required from here
  895 |       std_dev = sqrt((resids.col(i).array() - colmeans(i)).square().sum()/(resids.rows() - 1));
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:944:36:   required from here
  944 |     B = Px - Xr*XrtXr*Xr.transpose();
      |                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:967:34:   required from here
  967 |   size_n_array += (ZL * v).array();
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:975:45:   required from here
  975 |         size_n_array = size_n_array.inverse();
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:982:41:   required from here
  982 |         size_n_array = size_n_array.exp();
      |                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:986:37:   required from here
  986 |         size_n_array = size_n_array/expmu;
      |                                     ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1022:40:   required from here
 1022 |     n_array2 = -1.0 * (pdf / (1.0 - cdf));
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 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/4.6/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, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1022:41:   required from here
 1022 |     n_array2 = -1.0 * (pdf / (1.0 - cdf));
      |                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/RcppEigen/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_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::Array<double, -1, -1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::Array<double, -1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1022:41:   required from here
 1022 |     n_array2 = -1.0 * (pdf / (1.0 - cdf));
      |                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1031:56:   required from here
 1031 |     ArrayXXd logitxb = (size_n_array.exp().inverse() + 1.0).inverse();
      |                                                        ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1031:60:   required from here
 1031 |     ArrayXXd logitxb = (size_n_array.exp().inverse() + 1.0).inverse();
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1041:30:   required from here
 1041 |     size_n_array = logitxb - size_n_array;
      |                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1117:30:   required from here
 1117 |   return size_n_array.matrix();
      |                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1138:50:   required from here
 1138 |     size_q_array =  (ZLt * size_n_array.matrix()).array()-v.array();
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1138:67:   required from here
 1138 |     size_q_array =  (ZLt * size_n_array.matrix()).array()-v.array();
      |                                                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1138:67:   required from here
 1138 |     size_q_array =  (ZLt * size_n_array.matrix()).array()-v.array();
      |                                                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1233:29:   required from here
 1233 |       W_ = eta.exp().matrix();
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1241:45:   required from here
 1241 |       W_ = ArrayXd::Ones(eta.size()).matrix();  // Constant weight = 1
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1267:56:   required from here
 1267 |     WZL.noalias() = (ZL.array().colwise() * W_.array()).matrix();
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1267:56:   required from here
 1267 |     WZL.noalias() = (ZL.array().colwise() * W_.array()).matrix();
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1267:64:   required from here
 1267 |     WZL.noalias() = (ZL.array().colwise() * W_.array()).matrix();
      |                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1282:26:   required from here
 1282 |       eta = xb + u.array();
      |                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1284:37:   required from here
 1284 |         ArrayXd exp_neg_eta = (-eta).exp();
      |                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1285:50:   required from here
 1285 |         ArrayXd logitp = 1.0 / (1.0 + exp_neg_eta);
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_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/4.6/RcppEigen/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_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1287:38:   required from here
 1287 |         W_ = (var_p * (1.0 - logitp)).matrix();
      |                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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/4.6/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::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1287:46:   required from here
 1287 |         W_ = (var_p * (1.0 - logitp)).matrix();
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1306:38:   required from here
 1306 |       yb.noalias() = LWL * b + ZLt * resid;
      |                                      ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1310:24:   required from here
 1310 |       diff = (b - bnew).array().abs().maxCoeff();
      |                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1310:32:   required from here
 1310 |       diff = (b - bnew).array().abs().maxCoeff();
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1310:38:   required from here
 1310 |       diff = (b - bnew).array().abs().maxCoeff();
      |                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1320:56:   required from here
 1320 |       WX.noalias() = (X.array().colwise() * W_.array()).matrix();
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1320:64:   required from here
 1320 |       WX.noalias() = (X.array().colwise() * W_.array()).matrix();
      |                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:167:62:   required from here
  167 |   current_ll_values.first = ll_current.col(0).tail(eval_size).mean();
      |                                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:168:104:   required from here
  168 |   current_ll_var.first = (ll_current.col(0).tail(eval_size) - ll_current.col(0).tail(eval_size).mean()).square().sum() / (eval_size - 1);
      |                                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:168:113:   required from here
  168 |   current_ll_var.first = (ll_current.col(0).tail(eval_size) - ll_current.col(0).tail(eval_size).mean()).square().sum() / (eval_size - 1);
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:327:86:   required from here
  327 |     VectorXd XtVinvr = sigma2_inv * X.transpose() * r - sigma4_inv * C.transpose() * M_inv_c;
      |                                                                                      ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:694:33:   required from here
  694 |           WX = w.asDiagonal() * X;
      |                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:707:46:   required from here
  707 |       CZZ = ZWZ - WX * (XtWX * WX.transpose());
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:707:46:   required from here
  707 |       CZZ = ZWZ - WX * (XtWX * WX.transpose());
      |                                              ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:837:39:   required from here
  837 |   W = (W.array().colwise() * nvar_par).inverse();
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::Array<double, -1, 1>, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:837:39:   required from here
  837 |   W = (W.array().colwise() * nvar_par).inverse();
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:837:48:   required from here
  837 |   W = (W.array().colwise() * nvar_par).inverse();
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:851:77:   required from here
  851 |       resid += re.u_weight_(i) * (W.col(i).array() * zdresid.col(i).array()).matrix();
      |                                                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:108:   required from here
  865 |       XtWXm_private.noalias() += re.u_weight_(i) * X.transpose() * (X.array().colwise() * W.col(i).array()).matrix();
      |                                                                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:108:   required from here
  865 |       XtWXm_private.noalias() += re.u_weight_(i) * X.transpose() * (X.array().colwise() * W.col(i).array()).matrix();
      |                                                                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:874:46:   required from here
  874 |   gradients.head(X.cols()) = X.transpose() * resid;
      |                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:875:29:   recursively required by substitution of 'template<class Rhs> const Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Rhs> Eigen::SolverBase<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1> >::solve(const Eigen::MatrixBase<Derived>&) const [with Rhs = <missing>]'
  875 |   VectorXd bincr = llt.solve(gradients.head(X.cols()).matrix());
      |                    ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:875:29:   required from here
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:878:72:   required from here
  878 |   current_ll_var.first = (ll_current.col(0) - ll_current.col(0).mean()).square().sum() / (ll_current.col(0).size() - 1);
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:878:81:   required from here
  878 |   current_ll_var.first = (ll_current.col(0) - ll_current.col(0).mean()).square().sum() / (ll_current.col(0).size() - 1);
      |                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:917:70:   required from here
  917 |   VectorXd XtVinvy = sigma2_inv * Xty - sigma4_inv * C.transpose() * M_inv_c;
      |                                                                      ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:984:56:   required from here
  984 |   VectorXd ZtVinvr = sigma2_inv * c - sigma4_inv * G * M_inv_c;
      |                                                        ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:998:59:   required from here
  998 |   double trM_inv_G = (M_inv.array() * G.transpose().array()).sum();
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:998:61:   required from here
  998 |   double trM_inv_G = (M_inv.array() * G.transpose().array()).sum();
      |                                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1006:18:   required from here
 1006 |   + sigma8_inv * G_M_inv_G_M_inv_G;
      |                  ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1011:50:   required from here
 1011 |   + sigma8_inv * C.transpose() * M_inv_G_M_inv * C;
      |                                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, const 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::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1016:30:   required from here
 1016 |   + sigma8_inv * G_M_inv_G * M_inv_C;
      |                              ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1037:32:   required from here
 1037 |     ZtPZ = ZtVinvZ - ZtVinvX * XtVinvX_inv_ZtVinvX_t;
      |                                ^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1041:32:   required from here
 1041 |     ZtPr = ZtVinvr - ZtVinvX * XtVinvX_inv_XtVinvr;
      |                                ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:58:   required from here
 1045 |     - sigma4_inv * Z * (M_inv * (C * XtVinvX_inv_XtVinvr));
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:58:   required from here
 1045 |     - sigma4_inv * Z * (M_inv * (C * XtVinvX_inv_XtVinvr));
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1082:53:   required from here
 1082 |     ZtP2Z = ZtV2Z - term2_mat - term2_mat.transpose() + term3_mat;
      |                                                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1082:57:   required from here
 1082 |     ZtP2Z = ZtV2Z - term2_mat - term2_mat.transpose() + term3_mat;
      |                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Matrix<double, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1082:57:   required from here
 1082 |     ZtP2Z = ZtV2Z - term2_mat - term2_mat.transpose() + term3_mat;
      |                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1136:72:   required from here
 1136 |     fisher.diagonal().array() += 0.01 * fisher.diagonal().array().abs().maxCoeff() + 1e-6;
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1143:39:   required from here
 1143 |   double max_step = step.array().abs().maxCoeff();
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Array<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Array<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Array<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1198:70:   required from here
 1198 |   if(trace > 0)Rcpp::Rcout << "\nGradients: " << gradients.transpose() << " | ||G|| = " << gradients.matrix().norm();
      |                                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
../inst/include/glmmr/modeloptim.hpp:1246:52:   required from here
 1246 |   MatrixXd Phi_d0 = Phi * lambda_deriv.matrix().col(0).asDiagonal();
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1246:67:   required from here
 1246 |   MatrixXd Phi_d0 = Phi * lambda_deriv.matrix().col(0).asDiagonal();
      |                                                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1254:59:   required from here
 1254 |         W_ = (model.data.variance.inverse() *  model.data.weights).matrix();
      |                                                           ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1254:74:   required from here
 1254 |         W_ = (model.data.variance.inverse() *  model.data.weights).matrix();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1255:40:   required from here
 1255 |         resid = model.data.y.array() - eta;
      |                                        ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1263:62:   required from here
 1263 |         resid = model.data.y.array() - model.data.variance * logitp;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1264:56:   required from here
 1264 |         W_ = (model.data.variance * logitp * (1- logitp)).matrix();
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1264:65:   required from here
 1264 |         W_ = (model.data.variance * logitp * (1- logitp)).matrix();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1272:48:   required from here
 1272 |         resid = model.data.y.array() - eta.exp();
      |                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1283:43:   required from here
 1283 |     ArrayXd d0prod = (Phi_d0 * re.u_.col(i)).array();
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1283:51:   required from here
 1283 |     ArrayXd d0prod = (Phi_d0 * re.u_.col(i)).array();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1307:57:   required from here
 1307 |   model.covariance.update_parameters(logpars.array().exp());
      |                                      ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In member function 'void glmmr::ModelOptim<modeltype>::nr_theta() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/modeloptim.hpp:1228:13: warning: unused variable 'resid_size' [-Wunused-variable]
 1228 |   const int resid_size = model.data.y.size();
      |             ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 6>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:105:   required from here
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1360:43:   required from here
 1360 |         sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1.0);
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<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> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<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> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<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> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1360:52:   required from here
 1360 |         sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1.0);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1427:116:   required from here
 1427 |     Rcpp::Rcout << "\nIteration " << iter << "\n------------\nweights: [" << weights.segment(0,maxprint).transpose() << " ...]";
      |                                                                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1497:58:   required from here
 1497 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
      |                                                          ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1502:33:   required from here
 1502 |     weightsnew = weightsnew.abs();
      |                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1504:40:   required from here
 1504 |     diff = ((weights-weightsnew).abs()).maxCoeff();
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
model_module.cpp: In function 'SEXPREC* ModelBits__new(SEXP, SEXP, SEXP, SEXP, SEXP, SEXP, SEXP)':
model_module.cpp:805:19: warning: comparison of integer expressions of different signedness: 'std::vector<double>::size_type' {aka 'long long unsigned int'} and 'int' [-Wsign-compare]
  805 |   if(theta.size() != covnpar){
      |      ~~~~~~~~~~~~~^~~~~~~~~~
model_module.cpp: In function 'void setParallel(SEXP, int)':
model_module.cpp:2255:8: warning: variable 'a' set but not used [-Wunused-but-set-variable]
 2255 |    int a, b; // needed for defines on machines without openmp
      |        ^
model_module.cpp: In function 'std::vector<std::__cxx11::basic_string<char> > re_names(const std::string&, bool)':
model_module.cpp:2280:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 2280 |     for(int i = 0; i < form.re_.size(); i++){
      |                    ~~^~~~~~~~~~~~~~~~~
model_module.cpp:2284:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 2284 |     for(int i = 0; i < form.re_.size(); i++){
      |                    ~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 0, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 0, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>, 8, Eigen::SparseShape, Eigen::SparseShape, double, double>'
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2> >'
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:687:97:   required from 'Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::SparseMatrix(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::SparseMatrix<double, 0, int>, Eigen::SparseMatrix<double, 0, int>, 2>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
  687 |       const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                                 ^~~~~
../inst/include/glmmr/covariance.hpp:79:14:   required from here
   79 |     return Z * LS;
      |            ~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:91:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~^~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:101:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:167:44:   required from 'struct Eigen::internal::evaluator<Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> > >'
  167 |   typedef typename PlainObjectType::Scalar Scalar;
      |                                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:273:8:   required from 'struct Eigen::internal::evaluator<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
  273 | struct evaluator<Matrix<Scalar, Rows, Cols, Options, MaxRows, MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:96:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>, 6, Eigen::DenseShape, Eigen::DenseShape, double, double>'
   96 | struct product_evaluator<Product<Lhs, Rhs, Options>, ProductTag, LhsShape, RhsShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0> >'
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:909:85:   required from here
  909 |         size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
      |                                                                                     ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/maths.h:7,
                 from ../inst/include/glmmr/covariance.hpp:5:
../inst/include/glmmr/algo.h: In instantiation of 'void glmmr::algo::combinations(const std::vector<std::vector<T> >&, int, int, std::vector<T>&, std::vector<std::vector<T> >&) [with T = int]':
../inst/include/glmmr/hsgpcovariance.hpp:414:30:   required from here
  414 |     glmmr::algo::combinations(linspace_vec,0,i,ind_buffer,indices_vec);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:40:8: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::vector<int> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   40 |   if(n == vecs.size()-1){
      |      ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:43:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   43 |     for(int i = 0; i < vecs[n+1].size(); i++){
      |                    ~~^~~~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/covariance.hpp:10:
../inst/include/glmmr/matrixfield.h: In instantiation of 'T glmmr::MatrixField<T>::operator()(int) const [with T = Eigen::Matrix<double, -1, 1>]':
../inst/include/glmmr/nngpcovariance.hpp:391:40:   required from here
  391 |   for(int i = 0; i < dD.size(); i++) dD(i)(0) = s0vals[i+1];
      |                                      ~~^~~
../inst/include/glmmr/matrixfield.h:38:10: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Eigen::Matrix<double, -1, 1>, std::default_delete<Eigen::Matrix<double, -1, 1> > >, std::allocator<std::unique_ptr<Eigen::Matrix<double, -1, 1>, std::default_delete<Eigen::Matrix<double, -1, 1> > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   38 |     if(i >= data.size()) throw std::runtime_error("Accessing index out of range matrix field");
      |        ~~^~~~~~~~~~~~~~
../inst/include/glmmr/matrixfield.h: In instantiation of 'T glmmr::MatrixField<T>::operator()(int) const [with T = Eigen::Matrix<double, -1, -1>]':
../inst/include/glmmr/nngpcovariance.hpp:428:38:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                    ~~^~~
../inst/include/glmmr/matrixfield.h:38:10: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::unique_ptr<Eigen::Matrix<double, -1, -1>, std::default_delete<Eigen::Matrix<double, -1, -1> > >, std::allocator<std::unique_ptr<Eigen::Matrix<double, -1, -1>, std::default_delete<Eigen::Matrix<double, -1, -1> > > > >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
   38 |     if(i >= data.size()) throw std::runtime_error("Accessing index out of range matrix field");
      |        ~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57:   required from here
  280 |       double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64:   required from here
  322 |       grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:589:85:   required from 'double glmmr::ModelOptim<modeltype>::log_likelihood(bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
  589 |         ll_current(j,llcol ) = glmmr::maths::log_likelihood(model.data.y.array(),xb + re.zu_.col(j).array(),
      |                                                                                  ~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:455:29:   required from here
  455 |   double ll = log_likelihood(false);
      |               ~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:590:40:   required from 'double glmmr::ModelOptim<modeltype>::log_likelihood(bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
  590 |                    model.data.variance * model.data.weights.inverse(),
      |                    ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:455:29:   required from here
  455 |   double ll = log_likelihood(false);
      |               ~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:855:56:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  855 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1245:31:   required from here
 1245 |   MatrixXd zd = matrix.linpred();
      |                 ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:855:27:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  855 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
      |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1245:31:   required from here
 1245 |   MatrixXd zd = matrix.linpred();
      |                 ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:855:27:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::linpred() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  855 |   return (re.zu_.colwise()+(model.linear_predictor.xb()+model.data.offset));
      |          ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1245:31:   required from here
 1245 |   MatrixXd zd = matrix.linpred();
      |                 ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1340:35:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                    ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp.h:47,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigen.h:26:
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >]':
../inst/include/glmmr.h:27:36:   required from here
   27 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
      |                                    ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >]':
../inst/include/glmmr.h:27:59:   required from here
   27 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >]':
../inst/include/glmmr.h:27:82:   required from here
   27 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
      |                                                                                  ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >]':
../inst/include/glmmr.h:27:104:   required from here
   27 |   std::variant<int, Rcpp::XPtr<glmm>, Rcpp::XPtr<glmm_nngp>, Rcpp::XPtr<glmm_hsgp>, Rcpp::XPtr<glmm_ar1> > ptr;
      |                                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::LinearPredictor]':
model_module.cpp:71:30:   required from here
   71 |   XPtr<glmmr::LinearPredictor> ptr(new glmmr::LinearPredictor(f1,data,colnames));
      |                              ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::LinearPredictor' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::Covariance]':
model_module.cpp:118:18:   required from here
  118 |   XPtr<covariance> ptr(new covariance(f1,data,colnames),true);
      |                  ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::Covariance' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::nngpCovariance]':
model_module.cpp:127:12:   required from here
  127 |   XPtr<nngp> ptr(new nngp(form,data,colnames),true);
      |            ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::nngpCovariance' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::hsgpCovariance]':
model_module.cpp:136:12:   required from here
  136 |   XPtr<hsgp> ptr(new hsgp(form,data,colnames),true);
      |            ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::hsgpCovariance' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::ar1Covariance]':
model_module.cpp:145:21:   required from here
  145 |   XPtr<ar1covariance> ptr(new ar1covariance(form,data,colnames,T),true);
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::ar1Covariance' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h: In instantiation of 'void Rcpp::standard_delete_finalizer(T*) [with T = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:801:12:   required from here
  801 |   XPtr<bits>ptr(new bits(formula,data,colnames,family,link),true);
      |            ^
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/XPtr.h:31:5: warning: deleting object of polymorphic class type 'glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>' which has non-virtual destructor might cause undefined behavior [-Wdelete-non-virtual-dtor]
   31 |     delete obj;
      |     ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:22:9:   required from 'class Eigen::internal::SparseTransposeImpl<Eigen::SparseMatrix<double, 0, int>, 1024>'
   22 |   class SparseTransposeImpl<MatrixType,CompressedAccessBit>
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseTranspose.h:45:37:   required from 'class Eigen::TransposeImpl<Eigen::SparseMatrix<double, 0, int>, Eigen::Sparse>'
   45 | template<typename MatrixType> class TransposeImpl<MatrixType,Sparse>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::SparseMatrix<double, 0, int> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1130:16:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1130 |   ZLt.transpose();
      |   ~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1136:60:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1136:89:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1136 |     size_p_array =  (model.linear_predictor.X().transpose()*size_n_array.matrix()).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   required from 'Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1152 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1145:48:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1145 |     size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1145:118:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1145 |     size_p_array += ((1.0/(model.data.var_par))*(model.linear_predictor.X().transpose()*size_n_array.matrix())).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   required from 'Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1152 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:83:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1159 |     size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:60:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:97:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1159 |     size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1159:123:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1159 |     size_p_array += (model.linear_predictor.X().transpose()*(size_n_array.matrix()-model.data.y)*model.data.var_par).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   required from 'Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1152 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:96:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1170 |     size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
      |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:117:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1170 |     size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
      |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   required from 'Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1152 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:120:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1170 |     size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:60:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:144:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1170 |     size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1170:170:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1170 |     size_p_array += (model.linear_predictor.X().transpose()*((model.data.y.array()*size_n_array*size_n_array).matrix() - size_n_array.matrix())*model.data.var_par).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   required from 'Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1152 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<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/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:95:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1182 |     size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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/4.6/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, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:105:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1182 |     size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   required from 'Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1152 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:60:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:107:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1182 |     size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1152:61:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<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>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1182:133:   required from 'Eigen::VectorXd glmmr::ModelMatrix<modeltype>::log_gradient(const Eigen::VectorXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1182 |     size_p_array += (model.linear_predictor.X().transpose()*(model.data.y.array()*size_n_array-1).matrix()*model.data.var_par).array();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1152:61:   required from 'Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> [with auto:47 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1152 |     [&](auto ptr){return returnType(ptr->matrix.log_gradient(v,beta));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:234:40:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::Sigma(bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  234 |     S += W.W().array().inverse().matrix().asDiagonal();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1339:61:   required from 'Model__Sigma(SEXP, bool, int)::<lambda(auto:59)> [with auto:59 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1339 |     [&inverse](auto ptr){return returnType(ptr->matrix.Sigma(inverse));}
      |                                            ~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:59)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:59)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:59)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__Sigma(SEXP, bool, int)::<lambda(int)>, Model__Sigma(SEXP, bool, int)::<lambda(auto:59)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1341:22:   required from here
 1341 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:1350:66:   required from 'Model__information_matrix(SEXP, int)::<lambda(auto:60)> [with auto:60 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1350 |     [](auto ptr){return returnType(ptr->matrix.information_matrix());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22:   required from here
 1352 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  157 |   for(int i = 0; i< sigma_blocks.size(); i++){
      |                  ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:1350:66:   required from 'Model__information_matrix(SEXP, int)::<lambda(auto:60)> [with auto:60 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 1350 |     [](auto ptr){return returnType(ptr->matrix.information_matrix());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22:   required from here
 1352 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  157 |   for(int i = 0; i< sigma_blocks.size(); i++){
      |                  ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:1350:66:   required from 'Model__information_matrix(SEXP, int)::<lambda(auto:60)> [with auto:60 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 1350 |     [](auto ptr){return returnType(ptr->matrix.information_matrix());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22:   required from here
 1352 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  157 |   for(int i = 0; i< sigma_blocks.size(); i++){
      |                  ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix() [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:1350:66:   required from 'Model__information_matrix(SEXP, int)::<lambda(auto:60)> [with auto:60 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 1350 |     [](auto ptr){return returnType(ptr->matrix.information_matrix());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__information_matrix(SEXP, int)::<lambda(int)>, Model__information_matrix(SEXP, int)::<lambda(auto:60)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1352:22:   required from here
 1352 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:157:19: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  157 |   for(int i = 0; i< sigma_blocks.size(); i++){
      |                  ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:1361:65:   required from 'Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> [with auto:61 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1361 |     [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22:   required from here
 1363 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: 'std::deque<double, std::allocator<double> >::size_type' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare]
 1165 |   if(gradient_history.size() > hist) gradient_history.pop_front();
      |      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:1361:65:   required from 'Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> [with auto:61 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 1361 |     [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22:   required from here
 1363 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: 'std::deque<double, std::allocator<double> >::size_type' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare]
 1165 |   if(gradient_history.size() > hist) gradient_history.pop_front();
      |      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:1361:65:   required from 'Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> [with auto:61 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 1361 |     [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22:   required from here
 1363 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: 'std::deque<double, std::allocator<double> >::size_type' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare]
 1165 |   if(gradient_history.size() > hist) gradient_history.pop_front();
      |      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'bool glmmr::ModelOptim<modeltype>::check_convergence(double, int, int, int) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:1361:65:   required from 'Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> [with auto:61 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 1361 |     [&](auto ptr){return returnType(ptr->optim.check_convergence(tol, hist, k, k0));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22:   required from here
 1363 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1165:30: warning: comparison of integer expressions of different signedness: 'std::deque<double, std::allocator<double> >::size_type' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare]
 1165 |   if(gradient_history.size() > hist) gradient_history.pop_front();
      |      ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:320:44:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  320 |     infomat.topRightCorner(P(),npar) = -1.0*Mt.bottomRows(P());
      |                                        ~~~~^~~~~~~~~~~~~~~~~~~
model_module.cpp:1492:100:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22:   required from here
 1494 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22:   required from here
 1494 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:321:46:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  321 |     infomat.bottomLeftCorner(npar,P()) = -1.0*Mt.bottomRows(P()).transpose();
      |                                          ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1492:100:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22:   required from here
 1494 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelbits.hpp:60:64:   required from 'Eigen::ArrayXd glmmr::ModelBits<cov, linpred>::xb() [with cov = glmmr::Covariance; linpred = glmmr::LinearPredictor; Eigen::ArrayXd = Eigen::Array<double, -1, 1>]'
   60 |   virtual ArrayXd   xb() {return linear_predictor.xb().array() + data.offset.array();};
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1727:49:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:94)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:94)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:94)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:94)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__xb(SEXP, int)::<lambda(int)>, Model__xb(SEXP, int)::<lambda(auto:94)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1729:22:   required from here
 1729 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:892:58:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::residuals(int, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  892 |     VectorXd colmeans = resids.colwise().mean().transpose();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1790:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1792:22:   required from here
 1792 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]':
model_module.cpp:1871:50:   required from 'Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> [with auto:101 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1871 |     [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
      |                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1872 |                                     x,atvar,atmeansvar,averagevar,
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1873 |                                     static_cast<glmmr::RandomEffectMargin>(re),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1874 |                                     static_cast<glmmr::SE>(se),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1875 |                                     static_cast<glmmr::IM>(oim),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1876 |                                     xvals,atxvals,atrevals
      |                                     ~~~~~~~~~~~~~~~~~~~~~~
 1877 |     ));}
      |     ~                                             
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22:   required from here
 1879 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:248:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  248 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:261:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  261 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]':
model_module.cpp:1871:50:   required from 'Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> [with auto:101 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 1871 |     [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
      |                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1872 |                                     x,atvar,atmeansvar,averagevar,
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1873 |                                     static_cast<glmmr::RandomEffectMargin>(re),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1874 |                                     static_cast<glmmr::SE>(se),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1875 |                                     static_cast<glmmr::IM>(oim),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1876 |                                     xvals,atxvals,atrevals
      |                                     ~~~~~~~~~~~~~~~~~~~~~~
 1877 |     ));}
      |     ~                                             
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22:   required from here
 1879 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:248:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  248 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:261:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  261 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]':
model_module.cpp:1871:50:   required from 'Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> [with auto:101 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 1871 |     [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
      |                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1872 |                                     x,atvar,atmeansvar,averagevar,
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1873 |                                     static_cast<glmmr::RandomEffectMargin>(re),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1874 |                                     static_cast<glmmr::SE>(se),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1875 |                                     static_cast<glmmr::IM>(oim),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1876 |                                     xvals,atxvals,atrevals
      |                                     ~~~~~~~~~~~~~~~~~~~~~~
 1877 |     ));}
      |     ~                                             
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22:   required from here
 1879 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:248:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  248 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:261:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  261 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp: In instantiation of 'dblpair glmmr::Model<modeltype>::marginal(glmmr::MarginType, const std::string&, const strvec&, const strvec&, const strvec&, glmmr::RandomEffectMargin, glmmr::SE, glmmr::IM, const dblpair&, const dblvec&, const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblpair = std::pair<double, double>; std::string = std::__cxx11::basic_string<char>; strvec = std::vector<std::__cxx11::basic_string<char> >; dblvec = std::vector<double>]':
model_module.cpp:1871:50:   required from 'Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> [with auto:101 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 1871 |     [&](auto ptr){return returnType(ptr->marginal(static_cast<glmmr::MarginType>(margin),
      |                                     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1872 |                                     x,atvar,atmeansvar,averagevar,
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1873 |                                     static_cast<glmmr::RandomEffectMargin>(re),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1874 |                                     static_cast<glmmr::SE>(se),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1875 |                                     static_cast<glmmr::IM>(oim),
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1876 |                                     xvals,atxvals,atrevals
      |                                     ~~~~~~~~~~~~~~~~~~~~~~
 1877 |     ));}
      |     ~                                             
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(int)>, Model__marginal(SEXP, std::string, int, int, int, int, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, Rcpp::Nullable<std::vector<std::__cxx11::basic_string<char> > >, double, double, Rcpp::Nullable<std::vector<double> >, Rcpp::Nullable<std::vector<double> >, int)::<lambda(auto:101)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1879:22:   required from here
 1879 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:248:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  248 |     for(int p = 0; p < at.size(); p++){
      |                    ~~^~~~~~~~~~~
../inst/include/glmmr/model.hpp:261:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<std::__cxx11::basic_string<char> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  261 |     for(int p = 0; p < atmeans.size(); p++){
      |                    ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:392:24:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::sandwich_matrix() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  392 |   resid = model.data.y - glmmr::maths::mod_inv_func(resid, model.family.link);
      |           ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2015:63:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:2026:97:   required from 'Model__infomat_theta(SEXP, int)::<lambda(auto:113)> [with auto:113 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2026 |     [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::Array<int, -1, 1> >, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:472:56:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  472 |         MatrixXd SigmaInvsub = glmmr::Eigen_ext::submat(SigmaInv,rows,rows);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:2026:97:   required from 'Model__infomat_theta(SEXP, int)::<lambda(auto:113)> [with auto:113 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2026 |     [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:2026:97:   required from 'Model__infomat_theta(SEXP, int)::<lambda(auto:113)> [with auto:113 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2026 |     [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:2026:97:   required from 'Model__infomat_theta(SEXP, int)::<lambda(auto:113)> [with auto:113 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2026 |     [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
model_module.cpp:2026:97:   required from 'Model__infomat_theta(SEXP, int)::<lambda(auto:113)> [with auto:113 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2026 |     [](auto ptr){return returnType(ptr->matrix.template information_matrix_theta<glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2037:111:   required from 'Model__kenward_roger(SEXP, int)::<lambda(auto:114)> [with auto:114 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2037 |     [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<glmmr::Eigen_ext::index_functor<Eigen::Matrix<double, -1, -1>, Eigen::Array<int, -1, 1>, Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<int>, Eigen::Array<int, -1, 1> > >, Eigen::Matrix<double, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:609:47:   required from 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  609 |       MatrixXd Xsub = glmmr::Eigen_ext::submat(X,rows,ArrayXi::LinSpaced(P(),0,P()-1));
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2037:111:   required from 'Model__kenward_roger(SEXP, int)::<lambda(auto:114)> [with auto:114 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2037 |     [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2037:111:   required from 'Model__kenward_roger(SEXP, int)::<lambda(auto:114)> [with auto:114 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2037 |     [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2037:111:   required from 'Model__kenward_roger(SEXP, int)::<lambda(auto:114)> [with auto:114 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2037 |     [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2037:111:   required from 'Model__kenward_roger(SEXP, int)::<lambda(auto:114)> [with auto:114 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2037 |     [](auto ptr){return returnType(ptr->matrix.template small_sample_correction<glmmr::SE::KR, glmmr::IM::EIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2055:89:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2055 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2055:89:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2055 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2055:89:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2055 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2055:89:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> [with auto:115 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2055 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2070:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2070 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2072:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2072 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2070:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2070 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2072:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2072 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2070:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2070 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2072:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2072 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2070:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2070 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2072:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> [with auto:116 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2072 |           return returnType(ptr->matrix.template small_sample_correction<SE::KR2,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2085:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2085 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2087:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2087 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2085:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2085 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2087:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2087 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2085:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2085 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2087:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2087 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2085:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2085 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KRBoth; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2087:93:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> [with auto:117 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2087 |           return returnType(ptr->matrix.template small_sample_correction<SE::KRBoth,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:117)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2090:24:   required from here
 2090 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2100:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2100 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2102:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 2102 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2100:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2100 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2102:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 2102 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2100:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2100 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
model_module.cpp:2102:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 2102 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2100:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2100 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::OIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:709:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  709 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::Sat; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
model_module.cpp:2102:90:   required from 'Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> [with auto:118 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 2102 |           return returnType(ptr->matrix.template small_sample_correction<SE::Sat,IM::EIM>());
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:118)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2105:24:   required from here
 2105 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:606:21: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  606 |     for(int b = 0; b< sigma_blocks.size(); b++){
      |                    ~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:926:56:   required from 'BoxResults glmmr::ModelMatrix<modeltype>::box() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  926 |   MatrixXd A = MatrixXd::Identity(Px.rows(),Px.cols()) - Px;
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
model_module.cpp:2122:51:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22:   required from here
 2124 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]':
model_module.cpp:2320:48:   required from here
 2320 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1431:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1431 |       for(int i = 0 ; i < SB.size(); i++){
      |                       ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1477:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<Eigen::Matrix<double, -1, -1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1477 |           for(int k = 0; k < Xs.size(); k++){
      |                          ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1495:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1495 |     for(int i = 0 ; i < SB.size(); i++){
      |                     ~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:34:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:46:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 1, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1040:66:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]'
 1040 |   SparseMatrix<Scalar,IsRowMajor?ColMajor:RowMajor,StorageIndex> trMat(mat.rows(),mat.cols());
      |                                                                  ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:593:23:   required from here
  593 |   matZ.setFromTriplets(tripletList.begin(),tripletList.end());
      |   ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:918:24:   required from here
  918 |     double quad = v.dot(u);
      |                   ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const 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/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1104:32:   required from here
 1104 |     double qf = vmat.col(i).dot(umat.col(i));
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1114:52:   required from here
 1114 |       grad_j += 0.5 * uweight(i) * (umat.col(i).dot(S[j] * vmat.col(i)));
      |                                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >]'
  105 |     dst = dst * this->derived();
      |           ~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > >; Derived = Eigen::Matrix<double, -1, -1>]'
  517 |   other.derived().applyThisOnTheRight(derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:436:49:   required from here
  436 |       pnew *= Lambda.sqrt().matrix().asDiagonal();
      |                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:105:15:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >]'
  105 |     dst = dst * this->derived();
      |           ~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:517:38:   required from 'Derived& Eigen::MatrixBase<Derived>::operator*=(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_sqrt_op<double>, const Eigen::Array<double, -1, 1> > > > >; Derived = Eigen::Matrix<double, -1, -1>]'
  517 |   other.derived().applyThisOnTheRight(derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:438:59:   required from here
  438 |       pnew *= Lambda.sqrt().inverse().matrix().asDiagonal();
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1309:70:   required from here
 1309 |   current_ll_var.second = (ll_current.col(1) - ll_current.col(1).mean()).square().sum() / (ll_current.col(1).size() - 1);
      |                                                ~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:63:32:   required from 'void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
   63 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
      |        ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1066:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1068:13:   required from here
 1068 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/matrixw.hpp:63:60:   required from 'void glmmr::MatrixW<modeltype>::update() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
   63 |   W_ = ((W_.array().inverse()) * model.data.weights).matrix();
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1066:38:   required from 'Model__update_W(SEXP, int)::<lambda(auto:40)> [with auto:40 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1066 |     [](auto ptr){ptr->matrix.W.update();}
      |                  ~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_W(SEXP, int)::<lambda(int)>, Model__update_W(SEXP, int)::<lambda(auto:40)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1068:13:   required from here
 1068 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:976:47:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  976 |         size_n_array = size_n_array.colwise() * model.data.y.array();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:984:40:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  984 |         size_n_array.colwise() += -1.0 * model.data.y.array();
      |                                   ~~~~~^~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_constant_op<double>, const Eigen::Array<double, -1, -1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:997:28:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  997 |     ArrayXXd logitxb = 1.0 - size_n_array.exp();
      |                        ~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, -1>, const Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 1, -1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1000:38:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
 1000 |     size_n_array = logitxb.colwise() * (model.data.y.array() - model.data.variance);
      |                    ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1008:48:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
 1008 |     n_array2.colwise() *= (model.data.variance - model.data.y.array());
      |                           ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<double (*)(double), const Eigen::Array<double, -1, -1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<double (*)(double), const Eigen::Array<double, -1, -1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1019:18:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
 1019 |     cdf.unaryExpr(&glmmr::maths::gaussian_cdf);
      |     ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, -1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, -1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1031:68:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
 1031 |     ArrayXXd logitxb = (size_n_array.exp().inverse() + 1.0).inverse();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1063:49:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
 1063 |     size_n_array.colwise() *= model.data.weights/model.data.var_par;
      |                               ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:812:69:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  812 |   if(trace > 1)Rcpp::Rcout << "\nESS: " << 1.0 / re.u_weight_.square().sum();
      |                                                  ~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:851:84:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  851 |       resid += re.u_weight_(i) * (W.col(i).array() * zdresid.col(i).array()).matrix();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36:   required from 'Model__nr_beta(SEXP, int)::<lambda(auto:57)> [with auto:57 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1316 |     [](auto ptr){ptr->optim.nr_beta();}
      |                  ~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:851:32:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  851 |       resid += re.u_weight_(i) * (W.col(i).array() * zdresid.col(i).array()).matrix();
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1316:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:855:32:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  855 |       resid += re.u_weight_(i) * (model.data.y - zd.col(i));
      |                ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1316:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:115:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  865 |       XtWXm_private.noalias() += re.u_weight_(i) * X.transpose() * (X.array().colwise() * W.col(i).array()).matrix();
      |                                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36:   required from 'Model__nr_beta(SEXP, int)::<lambda(auto:57)> [with auto:57 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1316 |     [](auto ptr){ptr->optim.nr_beta();}
      |                  ~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:865:66:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::MatrixWrapper<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/modeloptim.hpp:875:29:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  875 |   VectorXd bincr = llt.solve(gradients.head(X.cols()).matrix());
      |                    ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1316:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 1, -1, 1, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 1, -1, 1, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22:   required from here
 1363 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
../inst/include/glmmr/modelmatrix.hpp:316:52:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  316 |     MatrixXd Mt = information_matrix_theta<IM::OIM>();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100:   required from 'Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> [with auto:73 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1492 |     [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22:   required from here
 1494 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  524 |         for(int b = 0; b< sigma_blocks.size(); b++){
      |                        ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
../inst/include/glmmr/modelmatrix.hpp:316:52:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  316 |     MatrixXd Mt = information_matrix_theta<IM::OIM>();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100:   required from 'Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> [with auto:73 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 1492 |     [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22:   required from here
 1494 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  524 |         for(int b = 0; b< sigma_blocks.size(); b++){
      |                        ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
../inst/include/glmmr/modelmatrix.hpp:316:52:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  316 |     MatrixXd Mt = information_matrix_theta<IM::OIM>();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100:   required from 'Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> [with auto:73 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 1492 |     [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22:   required from here
 1494 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  524 |         for(int b = 0; b< sigma_blocks.size(); b++){
      |                        ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::information_matrix_theta() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
../inst/include/glmmr/modelmatrix.hpp:316:52:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::observed_information_matrix() [with glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  316 |     MatrixXd Mt = information_matrix_theta<IM::OIM>();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1492:100:   required from 'Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> [with auto:73 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 1492 |     [](auto ptr){return returnType(ptr->matrix.template observed_information_matrix<glmmr::IM::OIM>());}
      |                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__observed_information_matrix(SEXP, int)::<lambda(int)>, Model__observed_information_matrix(SEXP, int)::<lambda(auto:73)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1494:22:   required from here
 1494 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:470:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  470 |       for(int b = 0; b< sigma_blocks.size(); b++){
      |                      ~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:524:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  524 |         for(int b = 0; b< sigma_blocks.size(); b++){
      |                        ~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Matrix<double, -1, 1>, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; ExpressionType = Eigen::Matrix<double, -1, -1>; int Direction = 0]'
  594 |       return m_matrix += extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:883:24:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::residuals(int, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  883 |     zuOffset.colwise() += model.data.offset;
      |     ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
model_module.cpp:1790:58:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1792:22:   required from here
 1792 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1264:33:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1264 |   VectorXd resid = model.data.y - eta.matrix();
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1801:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1270:36:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1284:41:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1284 |         ArrayXd exp_neg_eta = (-eta).exp();
      |                               ~~~~~~~~~~^~
model_module.cpp:1801:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, 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::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1285:30:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1285 |         ArrayXd logitp = 1.0 / (1.0 + exp_neg_eta);
      |                          ~~~~^~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1801:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1302:47:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1302 |         resid = ((model.data.y.array() - eta) / eta).matrix();  // (y - mu) / mu
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
model_module.cpp:1801:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1302:60:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1302 |         resid = ((model.data.y.array() - eta) / eta).matrix();  // (y - mu) / mu
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1801:50:   required from 'Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> [with auto:97 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1801 |     [&](auto ptr){ptr->matrix.posterior_u_samples(niter, reml, loglik, append);}
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/modelmatrix.hpp:1369:22:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1369 |         v = llt.solve(re.u_.col(i));
      |             ~~~~~~~~~^~~~~~~~~~~~~~
model_module.cpp:1801:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:637:83:   required from 'void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  637 |       if(optim.trace > 0)Rcpp::Rcout << "\nu: " << re.u_.topRows(5).rowwise().mean().transpose();
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
../inst/include/glmmr/model.hpp:637:95:   required from 'void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  637 |       if(optim.trace > 0)Rcpp::Rcout << "\nu: " << re.u_.topRows(5).rowwise().mean().transpose();
      |                                                    ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:698:90:   required from 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  698 |         M_theta_kr(i,j) += -1.0*(M*Q(counter)).trace() + 0.5*((M*Pmat(i)*M*Pmat(j)).trace());
      |                                                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2037:111:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:831:56:   required from 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  831 |         a1 += mult*M_theta(i,j)*(Theta*Pmat(i)*M).trace()*(Theta*Pmat(j)*M).trace();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:2037:111:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:832:72:   required from 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR; glmmr::IM imtype = glmmr::IM::EIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  832 |         a2 += mult*M_theta(i,j)*(Theta*Pmat(i)*M*Theta*Pmat(j)*M).trace();
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:2037:111:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:790:54:   required from 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  790 |       V[i] -= 2*((SigX.transpose()*S(i)*SS*X*M).trace());
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2070:90:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:791:57:   required from 'CorrectionData<corr> glmmr::ModelMatrix<modeltype>::small_sample_correction() [with glmmr::SE corr = glmmr::SE::KR2; glmmr::IM imtype = glmmr::IM::OIM; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  791 |       V[i] += ((XSXM*SigX.transpose()*S(i)*SigX*M).trace());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2070:90:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:28:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:929:49:   required from 'BoxResults glmmr::ModelMatrix<modeltype>::box() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  929 |   double trasig = ((ASig*ASig.transpose()).trace())/(asigtrace*asigtrace);
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
model_module.cpp:2122:51:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22:   required from here
 2124 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, 1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; bool IsVector = false; Eigen::Index = long long int]'
 1025 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, true>::run(Eigen::DenseBase<Derived>&, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
 1083 |       Base::run(_this.derived(), new_rows, new_cols);
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
  426 |       internal::conservative_resize_like_impl<Derived>::run(*this, size);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:28:   required from here
  126 |   matrix.conservativeResize(nSize);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:398:143:   required from 'Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::TriangularViewType& Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::operator/=(const typename Eigen::internal::traits<T>::Scalar&) [with _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1; TriangularViewType = Eigen::TriangularView<Eigen::Matrix<double, -1, -1>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  398 |     TriangularViewType&  operator/=(const typename internal::traits<MatrixType>::Scalar& other) { return *this = derived().nestedExpression() / other; }
      |                                                                                                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:455:40:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  455 |   mat.template triangularView<Lower>() /= scale;
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; OtherDerived = Eigen::Array<double, -1, 1>; bool IsVector = false; Eigen::Index = long long int]'
 1025 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, true>::run(Eigen::DenseBase<Derived>&, Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; OtherDerived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]'
 1083 |       Base::run(_this.derived(), new_rows, new_cols);
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]'
  426 |       internal::conservative_resize_like_impl<Derived>::run(*this, size);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:1224:30:   required from here
 1224 |   variance.conservativeResize(calc.variance.size());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:27:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::SparseMatrix<double, 1, int>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:336:80:   required from 'struct Eigen::internal::evaluator<Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1, int> > >'
  336 |   typedef typename DenseCoeffsBase<Derived,ReadOnlyAccessors>::CoeffReturnType CoeffReturnType;
      |                                                                                ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1505:8:   required from 'struct Eigen::internal::evaluator<Eigen::SparseMatrix<double, 1, int> >'
 1505 | struct evaluator<SparseMatrix<_Scalar,_Options,_StorageIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1181:93:   required from 'Eigen::SparseMatrix<_Scalar, _Options, _StorageIndex>& Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::operator=(const Eigen::SparseMatrixBase<OtherDerived>&) [with OtherDerived = Eigen::SparseMatrix<double, 1, int>; _Scalar = double; int _Options = 0; _StorageIndex = int]'
 1181 |   const bool needToTranspose = (Flags & RowMajorBit) != (internal::evaluator<OtherDerived>::Flags & RowMajorBit);
      |                                                                                             ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1063:7:   required from 'void Eigen::internal::set_from_triplets(const InputIterator&, const InputIterator&, SparseMatrixType&, DupFunctor) [with InputIterator = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; SparseMatrixType = Eigen::SparseMatrix<double, 0, int>; DupFunctor = scalar_sum_op<double, double>]'
 1063 |   mat = trMat;
      |   ~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:1110:92:   required from 'void Eigen::SparseMatrix<_Scalar, _Flags, _StorageIndex>::setFromTriplets(const InputIterators&, const InputIterators&) [with InputIterators = __gnu_cxx::__normal_iterator<Eigen::Triplet<double>*, std::vector<Eigen::Triplet<double> > >; _Scalar = double; int _Options = 0; _StorageIndex = int]'
 1110 |   internal::set_from_triplets<InputIterators, SparseMatrix<Scalar,_Options,_StorageIndex> >(begin, end, *this, internal::scalar_sum_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:593:23:   required from here
  593 |   matZ.setFromTriplets(tripletList.begin(),tripletList.end());
      |   ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57:   required from here
  280 |       double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57:   required from here
  280 |       double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64:   required from here
  322 |       grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64:   required from here
  322 |       grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:363:93:   required from 'double glmmr::ModelOptim<modeltype>::saem_average(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
  363 |       ll_t = ll_t + gamma*(ll_current.col(col).segment(lower_range, re.mcmc_block_size).mean() - ll_t);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:457:36:   required from here
  457 |   if(control.saem)ll = saem_average(1);
      |                        ~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:114:27:   required from 'void Eigen::EigenBase<Derived>::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix<double, -1, -1>; Derived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >]'
  114 |     dst = this->derived() * dst;
      |           ~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:542:37:   required from 'void Eigen::MatrixBase<Derived>::applyOnTheLeft(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::DiagonalWrapper<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
  542 |   other.derived().applyThisOnTheLeft(derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1337:38:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1337 |       if (weighted) XW.applyOnTheLeft(model.data.weights.matrix().asDiagonal());
      |                     ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/modelmatrix.hpp:137:15:   required from 'glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  137 |   if(useBlock)gen_sigma_blocks();};
      |               ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:47:3:   required from 'glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with C = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]'
   47 |   matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
      |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:839:60:   required from here
  839 |   XPtr<glmm> ptr(new glmm(formula,data,colnames,family,link),true);
      |                                                            ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  189 |       for(j = 0; j < sigma_blocks.size(); j++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/modelmatrix.hpp:137:15:   required from 'glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]'
  137 |   if(useBlock)gen_sigma_blocks();};
      |               ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:60:9:   required from 'glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const Eigen::ArrayXXd&, const strvec&, const strvec&, std::string, std::string, int) [with C = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]'
   60 |         matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:867:94:   required from here
  867 |   XPtr<glmm_ar1> ptr(new glmm_ar1(formula,data,data_cov,colnames,colnames_cov,family,link, T_),true);
      |                                                                                              ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  189 |       for(j = 0; j < sigma_blocks.size(); j++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/modelmatrix.hpp:137:15:   required from 'glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]'
  137 |   if(useBlock)gen_sigma_blocks();};
      |               ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:47:3:   required from 'glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with C = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]'
   47 |   matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
      |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:879:70:   required from here
  879 |   XPtr<glmm_nngp> ptr(new glmm_nngp(formula,data,colnames,family,link),true);
      |                                                                      ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  189 |       for(j = 0; j < sigma_blocks.size(); j++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp: In instantiation of 'void glmmr::ModelMatrix<modeltype>::gen_sigma_blocks() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/modelmatrix.hpp:137:15:   required from 'glmmr::ModelMatrix<modeltype>::ModelMatrix(modeltype&, glmmr::RandomEffects<modeltype>&, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
  137 |   if(useBlock)gen_sigma_blocks();};
      |               ^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:47:3:   required from 'glmmr::Model<modeltype>::Model(const std::string&, const Eigen::ArrayXXd&, const strvec&, std::string, std::string) [with C = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>; Eigen::ArrayXXd = Eigen::Array<double, -1, -1>; strvec = std::vector<std::__cxx11::basic_string<char> >]'
   47 |   matrix(model,re,check_type<modeltype>::value,check_type<modeltype>::value),
      |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:910:70:   required from here
  910 |   XPtr<glmm_hsgp> ptr(new glmm_hsgp(formula,data,colnames,family,link),true);
      |                                                                      ^
../inst/include/glmmr/modelmatrix.hpp:189:20: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  189 |       for(j = 0; j < sigma_blocks.size(); j++){
      |                  ~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]':
../inst/include/glmmr/model.hpp:110:20:   required from 'void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]'
  110 |   optim.update_beta(beta_);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39:   required from 'Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> [with auto:34 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1004 |     [&beta](auto ptr){ptr->update_beta(beta);}
      |                       ~~~~~~~~~~~~~~~~^~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13:   required from here
 1006 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  491 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]':
../inst/include/glmmr/model.hpp:110:20:   required from 'void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]'
  110 |   optim.update_beta(beta_);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39:   required from 'Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> [with auto:34 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 1004 |     [&beta](auto ptr){ptr->update_beta(beta);}
      |                       ~~~~~~~~~~~~~~~~^~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13:   required from here
 1006 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  491 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]':
../inst/include/glmmr/model.hpp:110:20:   required from 'void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]'
  110 |   optim.update_beta(beta_);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39:   required from 'Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> [with auto:34 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 1004 |     [&beta](auto ptr){ptr->update_beta(beta);}
      |                       ~~~~~~~~~~~~~~~~^~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13:   required from here
 1006 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  491 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]':
../inst/include/glmmr/model.hpp:110:20:   required from 'void glmmr::Model<modeltype>::update_beta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]'
  110 |   optim.update_beta(beta_);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~
model_module.cpp:1004:39:   required from 'Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> [with auto:34 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 1004 |     [&beta](auto ptr){ptr->update_beta(beta);}
      |                       ~~~~~~~~~~~~~~~~^~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_beta(SEXP, SEXP, int)::<lambda(int)>, Model__update_beta(SEXP, SEXP, int)::<lambda(auto:34)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1006:13:   required from here
 1006 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:491:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  491 |     for(int i = 0; i < beta.size(); i++)
      |                    ~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:530:51:   required from 'bool Eigen::DenseBase<Derived>::isZero(const RealScalar&) const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; RealScalar = double]'
  530 |   typename internal::nested_eval<Derived,1>::type self(derived());
      |                                                   ^~~~
../inst/include/glmmr/model.hpp:146:56:   required from 'void glmmr::Model<modeltype>::update_u(const Eigen::MatrixXd&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  146 |   if(append && re.u_.cols() == 1 && re.u_.col(0).isZero()) action_append = false;
      |                                     ~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1035:32:   required from 'Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:37)> [with auto:37 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1035 |     [&](auto ptr){ptr->update_u(u, append);}
      |                   ~~~~~~~~~~~~~^~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:37)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:37)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:37)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__update_u(SEXP, SEXP, bool, int)::<lambda(int)>, Model__update_u(SEXP, SEXP, bool, int)::<lambda(auto:37)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1037:13:   required from here
 1037 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<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::Matrix<double, -1, 1> > >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:594:36:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator+=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Array<double, -1, -1>; int Direction = 0]'
  594 |       return m_matrix += extendedTo(other.derived());
      |                          ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:984:32:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  984 |         size_n_array.colwise() += -1.0 * model.data.y.array();
      |         ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:615:29:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator*=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; ExpressionType = Eigen::Array<double, -1, -1>; int Direction = 0]'
  615 |       m_matrix *= extendedTo(other.derived());
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1008:24:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
 1008 |     n_array2.colwise() *= (model.data.variance - model.data.y.array());
      |     ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 1, -1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:615:29:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator*=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >; ExpressionType = Eigen::Array<double, -1, -1>; int Direction = 0]'
  615 |       m_matrix *= extendedTo(other.derived());
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1063:28:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::gradient_eta(const Eigen::MatrixXd&) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
 1063 |     size_n_array.colwise() *= model.data.weights/model.data.var_par;
      |     ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1126:19:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from ../inst/include/glmmr/modeloptim.hpp:8:
../inst/include/glmmr/optim/optim.h: In instantiation of 'void optim<T(const std::vector<T>&), NEWUOA>::minimise() [with T = double]':
../inst/include/glmmr/modeloptim.hpp:165:14:   required from 'void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  165 |   op.minimise();
      |   ~~~~~~~~~~~^~
model_module.cpp:1262:44:   required from 'Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> [with auto:54 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1262 |         ptr->optim.template ml_beta<NEWUOA>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1270:13:   required from here
 1270 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:339:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare]
  339 |       for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf;
      |                      ~^~~~~
../inst/include/glmmr/optim/optim.h:343:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare]
  343 |       for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf;
      |                      ~^~~~~
../inst/include/glmmr/optim/optim.h:353:12: warning: unused variable 'result' [-Wunused-variable]
  353 |     double result = newuoa_closure( &closure, dim, control.npt, current_values.data(), control.rhobeg, control.rhoend, control.maxfun, w.data(), &fn_counter);
      |            ^~~~~~
../inst/include/glmmr/optim/optim.h: In instantiation of 'void optim<T(const std::vector<T>&), BOBYQA>::minimise() [with T = double]':
../inst/include/glmmr/modeloptim.hpp:165:14:   required from 'void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = BOBYQA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  165 |   op.minimise();
      |   ~~~~~~~~~~~^~
model_module.cpp:1265:44:   required from 'Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> [with auto:54 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1265 |         ptr->optim.template ml_beta<BOBYQA>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1270:13:   required from here
 1270 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/optim.h:159:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare]
  159 |       for(int i = 0; i< dim; i++) lower_bound[i] = R_NegInf;
      |                      ~^~~~~
../inst/include/glmmr/optim/optim.h:163:23: warning: comparison of integer expressions of different signedness: 'int' and 'size_t' {aka 'long long unsigned int'} [-Wsign-compare]
  163 |       for(int i = 0; i< dim; i++)upper_bound[i] = R_PosInf;
      |                      ~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22:   required from here
 1363 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Replicate.h:61:65:   required from 'class Eigen::Replicate<Eigen::Array<double, -1, 1>, 1, 1>'
   61 | template<typename MatrixType,int RowFactor,int ColFactor> class Replicate
      |                                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:615:29:   required from 'ExpressionType& Eigen::VectorwiseOp<ExpressionType, Direction>::operator*=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Array<double, -1, 1>; ExpressionType = Eigen::Array<double, -1, 1>; int Direction = 0]'
  615 |       m_matrix *= extendedTo(other.derived());
      |                   ~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1263:66:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1263 |   if(model.family.family == Fam::binomial) eta.array().colwise() *= model.data.variance;
      |                                            ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1801:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:905:22:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  905 |   MatrixXd M = D_inv + sigma2_inv * G;
      |                ~~~~~~^~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:591:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:917:39:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  917 |   VectorXd XtVinvy = sigma2_inv * Xty - sigma4_inv * C.transpose() * M_inv_c;
      |                      ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:591:29:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/model.hpp:591:29:   required from 'void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  591 |       optim.nr_beta_gaussian();
      |       ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27:   required from 'Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> [with auto:100 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1833 |     [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
      |                   ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable 'n' [-Wunused-variable]
  883 |   int n = model.data.y.size();
      |       ^
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> >, const 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::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:984:37:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  984 |   VectorXd ZtVinvr = sigma2_inv * c - sigma4_inv * G * M_inv_c;
      |                      ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::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::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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1006:3:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1004 |   MatrixXd ZtV2Z = sigma4_inv * G
      |                    ~~~~~~~~~~~~~~
 1005 |   - 2.0 * sigma6_inv * G_M_inv_G
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1006 |   + sigma8_inv * G_M_inv_G_M_inv_G;
      |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::Matrix<double, -1, -1> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0> >, const 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1011:3:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1009 |   MatrixXd XtV2X = sigma4_inv * XtX
      |                    ~~~~~~~~~~~~~~~~
 1010 |   - 2.0 * sigma6_inv * C.transpose() * M_inv_C
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1011 |   + sigma8_inv * C.transpose() * M_inv_G_M_inv * C;
      |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> >, 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::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> >, 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::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::Matrix<double, -1, -1> >, const 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::Matrix<double, -1, -1>, 0> >, 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::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> >, 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::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> >, 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::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1016:3:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1014 |   MatrixXd ZtV2X = sigma4_inv * C
      |                    ~~~~~~~~~~~~~~
 1015 |   - 2.0 * sigma6_inv * G * M_inv_C
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1016 |   + sigma8_inv * G_M_inv_G * M_inv_C;
      |   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
../inst/include/glmmr/modeloptim.hpp:1036:55:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1036 |     MatrixXd XtVinvX_inv_ZtVinvX_t = llt_XtVinvX.solve(ZtVinvX.transpose());
      |                                      ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, 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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 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::Matrix<double, -1, 1>, 0>, 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1045:5:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1044 |     VectorXd VinvX_adj = sigma2_inv * X * XtVinvX_inv_XtVinvr
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1045 |     - sigma4_inv * Z * (M_inv * (C * XtVinvX_inv_XtVinvr));
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
../inst/include/glmmr/modeloptim.hpp:1080:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1150:38:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1150 |   VectorXd theta_new = theta_current + step.head(n_theta);
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<double, double>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0>, 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:327:55:   required from 'double glmmr::ModelOptim<modeltype>::marginal_log_likelihood() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  327 |     VectorXd XtVinvr = sigma2_inv * X.transpose() * r - sigma4_inv * C.transpose() * M_inv_c;
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:600:52:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/model.hpp:591:29:   required from 'void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>]'
  591 |       optim.nr_beta_gaussian();
      |       ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27:   required from 'Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> [with auto:100 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >]'
 1833 |     [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
      |                   ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable 'n' [-Wunused-variable]
  883 |   int n = model.data.y.size();
      |       ^
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/model.hpp:591:29:   required from 'void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
  591 |       optim.nr_beta_gaussian();
      |       ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27:   required from 'Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> [with auto:100 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >]'
 1833 |     [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
      |                   ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable 'n' [-Wunused-variable]
  883 |   int n = model.data.y.size();
      |       ^
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'void glmmr::ModelOptim<modeltype>::nr_beta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]':
../inst/include/glmmr/model.hpp:591:29:   required from 'void glmmr::Model<modeltype>::fit(int, int, bool, double, int, int) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]'
  591 |       optim.nr_beta_gaussian();
      |       ~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1833:27:   required from 'Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> [with auto:100 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >]'
 1833 |     [&](auto ptr){ptr->fit(niter, max_iter, start_ml_beta, tol, hist, k0);}
      |                   ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   required by substitution of 'template<class _Fn, class ... _Args> static std::__result_of_success<decltype (declval<_Fn>()((declval<_Args>)()...)), std::__invoke_other> std::__result_of_other_impl::_S_test(int) [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 2655 |       std::declval<_Fn>()(std::declval<_Args>()...)
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2666:60:   required from 'struct std::__result_of_impl<false, false, overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2666 |       using type = decltype(_S_test<_Functor, _ArgTypes...>(0));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:883:7: warning: unused variable 'n' [-Wunused-variable]
  883 |   int n = model.data.y.size();
      |       ^
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  451 |     subdiag = mat.template diagonal<-1>().real();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:19:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  432 |     MatrixTypeRef lu = MatrixType::Map(lu_data,rows, cols, OuterStride<>(luStride));
      |                   ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<-1, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:432:39:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  432 |     MatrixTypeRef lu = MatrixType::Map(lu_data,rows, cols, OuterStride<>(luStride));
      |                        ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:31:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  463 |       BlockType A_0 = lu.block(0,0,rows,k);
      |                       ~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  463 |       BlockType A_0 = lu.block(0,0,rows,k);
      |                 ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:44:50:   required from 'struct Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false> >'
   44 |       DerivedAlignment = int(evaluator<Derived>::Alignment),
      |                                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:288:101:   required by substitution of 'template<class Derived> Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >::Ref(const Eigen::DenseBase<Derived>&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >::match<Derived>::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>]'
  288 |                                  typename internal::enable_if<bool(Traits::template match<Derived>::MatchAtCompileTime),Derived>::type* = 0);
      |                                                                                                     ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:463:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  463 |       BlockType A_0 = lu.block(0,0,rows,k);
      |                 ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:16:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  483 |         A_0.row(i).swap(A_0.row(piv));
      |         ~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:30:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |                          ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:692:37:   required from here
  692 |     logl = (y*mu.log() - mu-lf1).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const 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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:698:41:   required from here
  698 |     logl = (y * mu - mu.exp() - lf1).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:708:53:   required from here
  708 |     logl = (y*mu + (1-y)*(1.0 - mu.exp()).log()).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:711:51:   required from here
  711 |     logl = (y*mu.log() + (1 - y)*(1-mu).log()).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 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::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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:734:78:   required from here
  734 |     logl = (lfn - lfk - lfnk + y*mu + (var_par - y)*(1 - mu.exp()).log()).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = 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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, const 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::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:742:75:   required from here
  742 |     logl = (lfn - lfk - lfnk + y*log(mu) + (var_par - y)*(1-mu).log()).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:773:90:   required from here
  773 |     logl = -0.5*(var_par.log() + LOG_2PI + (y.log() - mu).square()*var_par.inverse()).sum();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<scalar_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, 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::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:777:86:   required from here
  777 |     logl = -0.5*(var_par.log() + LOG_2PI + (y - mu).square() * var_par.inverse()).sum();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_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::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/maths.h:817:35:   required from here
  817 |     logl = (mu - y * mu.exp()).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  323 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                               ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:323:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  323 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:324:35:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  324 |       Block<MatrixType,1,Dynamic> A10(mat,k,0,1,k);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:41:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  325 |       Block<MatrixType,Dynamic,Dynamic> A20(mat,k+1,0,rs,k);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                               ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                                         ~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Matrix<double, -1, -1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Matrix<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, -1>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:903:80:   required from here
  903 |         dmat_matrix.block(0,0,blocksize,blocksize).noalias() = get_chol_block(b);
      |                                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; ExpressionType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; StorageBase = Eigen::MatrixBase]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:908:127:   required from here
  908 |         zquad.segment(0,blocksize).noalias() = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
      |                                                                                                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:909:85:   required from here
  909 |         size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
      |                                                                                     ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:909:85:   required from here
  909 |         size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
      |                                                                                     ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:913:34:   required from here
  913 |     loglik_val = size_B_array.sum();
      |                  ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const 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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Block<const 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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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<const 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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1104:32:   required from here
 1104 |     double qf = vmat.col(i).dot(umat.col(i));
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::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> > >; 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>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [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>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:65:   required from here
  388 |   ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
      |                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::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> > >; 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>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [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>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:65:   required from here
  388 |   ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
      |                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:155:32:   required from here
  155 |   return Dvec.array().log().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  358 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   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>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
      |                              ~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |                            ~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  387 |         ret = ret && (A21.array()==Scalar(0)).all();
      |                       ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<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> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/ar1covariance.hpp:172:58:   required from here
  172 |   double qf = (M.array() * ar_factor_inverse.array()).sum();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1287:38:   required from here
 1287 |     grad(0) += (d0prod * resid_w).sum();
      |                ~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::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> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1290:48:   required from here
 1290 |     hess(0, 0) += (d0prod * d0prod * w_arr).sum();// - d2prod * resid_w).sum();
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1309:70:   required from here
 1309 |   current_ll_var.second = (ll_current.col(1) - ll_current.col(1).mean()).square().sum() / (ll_current.col(1).size() - 1);
      |                                                ~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1309:86:   required from here
 1309 |   current_ll_var.second = (ll_current.col(1) - ll_current.col(1).mean()).square().sum() / (ll_current.col(1).size() - 1);
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:79:51:   required from 'void glmmr::RandomEffects<modeltype>::update_zu(bool) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]'
   79 |       double llprior = -0.5 * scaled_u_.col(i).dot(u_solve_.col(i));
      |                               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:116:15:   required from 'void glmmr::Model<modeltype>::update_theta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]'
  116 |   re.update_zu(false);
      |   ~~~~~~~~~~~~^~~~~~~
model_module.cpp:1019:24:   required from here
 1019 |       ptr->update_theta(theta);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1047:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22:   required from here
 2124 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1626:36:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>, 0> >'
 1626 |   typedef typename XprType::Scalar Scalar;
      |                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:65:8:   required from 'struct Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   65 | struct evaluator<Diagonal<const Product<Lhs, Rhs, DefaultProduct>, DiagIndex> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__box(SEXP, int)::<lambda(int)>, Model__box(SEXP, int)::<lambda(auto:119)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2124:22:   required from here
 2124 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:313:10:   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>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
  313 |   ColXpr x(this->col(p));
      |          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:17:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  377 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
      |           ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:25:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  377 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
      |           ~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:43:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  377 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:130:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |                                                                                                                    ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:114:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |                                                                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:64:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
   64 |       SmallPanelWidth   = EIGEN_PLAIN_ENUM_MAX(Traits::mr,Traits::nr),
      |                                                        ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22:   required from here
   61 |     matL.solveInPlace(x);
      |     ~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22:   required from here
   61 |     matL.solveInPlace(x);
      |     ~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:78:95:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
   78 |     gebp_kernel<Scalar, Scalar, Index, OtherMapper, Traits::mr, Traits::nr, Conjugate, false> gebp_kernel;
      |                                                                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22:   required from here
   61 |     matL.solveInPlace(x);
      |     ~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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, true>, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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, true>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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, false>, 1, -1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, 1, -1, false>; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:125:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:71:   required from here
  147 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:71:   required from here
  147 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:84:50:   required from 'bool Eigen::DenseBase<Derived>::all() const [with Derived = 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> > >]'
   84 |           && SizeAtCompileTime * (int(Evaluator::CoeffReadCost) + int(NumTraits<Scalar>::AddCost)) <= EIGEN_UNROLLING_LIMIT
      |                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  387 |         ret = ret && (A21.array()==Scalar(0)).all();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:185:74:   required from here
  185 |     Dvec(i) = val - (A.col(i).head(idxlim).transpose() * Sv.head(idxlim))(0);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:133:   required from here
  430 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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/4.6/RcppEigen/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::Transpose<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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:133:   required from here
  430 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::mean() const [with Derived = Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:363:93:   required from 'double glmmr::ModelOptim<modeltype>::saem_average(int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
  363 |       ll_t = ll_t + gamma*(ll_current.col(col).segment(lower_range, re.mcmc_block_size).mean() - ll_t);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:457:36:   required from here
  457 |   if(control.saem)ll = saem_average(1);
      |                        ~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<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> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<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> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<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> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<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> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1360:56:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1360 |         sigmas(i) = (resid - resid.mean()).square().sum()/(resid.size()-1.0);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:895:72:   required from 'Eigen::MatrixXd glmmr::ModelMatrix<modeltype>::residuals(int, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
  895 |       std_dev = sqrt((resids.col(i).array() - colmeans(i)).square().sum()/(resids.rows() - 1));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1790:58:   required from 'Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> [with auto:96 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1790 |     [&](auto ptr){return returnType(ptr->matrix.residuals(rtype,conditional));}
      |                                     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1792:22:   required from here
 1792 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:112:43:   required from here
  112 |       matrix.rightCols(numCols-colToRemove);
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   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>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; SrcXprType = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; Src = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Array<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/formulaparse.h:51:59:   required from here
   51 |         Xdata.col(calc.data_count) = data.col(column_index);
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::blas_data_mapper<double, long long int, 0, 0, 1>; int nr = 4; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:155:19:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  155 |           pack_rhs(blockB+actual_kc*j2, other.getSubMapper(startBlock,j2), actualPanelWidth, actual_cols, actual_kc, blockBOffset);
      |           ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22:   required from here
   61 |     matL.solveInPlace(x);
      |     ~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 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 Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22:   required from here
   61 |     matL.solveInPlace(x);
      |     ~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:164:24:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 1; bool Conjugate = false; int TriStorageOrder = 0; int OtherInnerStride = 1]'
  164 |             gebp_kernel(other.getSubMapper(startTarget,j2), blockA, blockB+actual_kc*j2, lengthTarget, actualPanelWidth, actual_cols, Scalar(-1),
      |             ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  165 |                         actualPanelWidth, actual_kc, 0, blockBOffset);
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   required from 'static void Eigen::internal::triangular_solver_selector<Lhs, Rhs, Side, Mode, 0, -1>::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Side = 1; int Mode = 1]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Matrix<double, -1, -1>; unsigned int _Mode = 1]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:520:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  520 |   matrixL().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22:   required from here
   61 |     matL.solveInPlace(x);
      |     ~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:162:21:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 1, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  162 |             pack_lhs(blockA, tri.getSubMapper(startTarget,startBlock), actualPanelWidth, lengthTarget);
      |             ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   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]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 1; OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:522:37:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with OtherDerived = Eigen::Matrix<double, -1, -1>; _MatrixType = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; unsigned int _Mode = 2]'
  522 |     { return solveInPlace<OnTheLeft>(other); }
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:521:25:   required from 'void Eigen::LLT<MatrixType, UpLo>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with Derived = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  521 |   matrixU().solveInPlace(bAndX);
      |   ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
../inst/include/glmmr/covariance.hpp:61:22:   required from here
   61 |     matL.solveInPlace(x);
      |     ~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:232:74:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  232 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                          ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:908:72:   required from here
  908 |         zquad.segment(0,blocksize).noalias() = glmmr::algo::forward_sub(dmat_matrix,u.segment(obs_counter,blocksize),blocksize);
      |                                                ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:918:24:   required from here
  918 |     double quad = v.dot(u);
      |                   ~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const 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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const 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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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<const 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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1104:32:   required from here
 1104 |     double qf = vmat.col(i).dot(umat.col(i));
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; U = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1114:52:   required from here
 1114 |       grad_j += 0.5 * uweight(i) * (umat.col(i).dot(S[j] * vmat.col(i)));
      |                                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Array<double, -1, 1>, -1, 1, false>; SrcXprType = Eigen::Matrix<double, -1, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Array<double, -1, 1>, -1, 1, false>; Src = 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>; Src = Eigen::Matrix<double, -1, 1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   required from 'Derived& Eigen::DenseBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Matrix<double, -1, 1>; Derived = Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>]'
   41 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:1133:33:   required from here
 1133 |   gradients.tail(grad.size()) = grad;
      |                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:834:128:   required from 'struct Eigen::internal::diagonal_product_evaluator_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>, 2>'
  834 |     CoeffReadCost = int(NumTraits<Scalar>::MulCost) + int(evaluator<MatrixType>::CoeffReadCost) + int(evaluator<DiagonalType>::CoeffReadCost),
      |                                                                                                                                ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:948:8:   required from 'struct Eigen::internal::product_evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>, 8, Eigen::DenseShape, Eigen::DiagonalShape, double, double>'
  948 | struct product_evaluator<Product<Lhs, Rhs, ProductKind>, ProductTag, DenseShape, DiagonalShape>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   required from 'struct Eigen::internal::evaluator<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1> >'
   29 | struct evaluator<Product<Lhs, Rhs, Options> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::Block<Eigen::MatrixWrapper<Eigen::Array<double, -1, -1> >, -1, 1, true> >, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1246:67:   required from here
 1246 |   MatrixXd Phi_d0 = Phi * lambda_deriv.matrix().col(0).asDiagonal();
      |                                                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:29:8:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Inverse.h:68:7:   required from 'class Eigen::InverseImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::SolverStorage>'
   68 | class InverseImpl
      |       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7:   required from 'class Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >'
   43 | class Inverse : public InverseImpl<XprType,typename internal::traits<XprType>::StorageKind>
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:43:   required from 'static void Eigen::internal::compute_inverse<MatrixType, ResultType, Size>::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; ResultType = Eigen::Matrix<double, -1, -1>; int Size = -1]'
   28 |     result = matrix.partialPivLu().inverse();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]'
  322 |     compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1202:71:   required from here
 1202 |       MatrixXd info_inv = ptr->model.covariance.infomat_theta.inverse();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Block<Eigen::Array<double, -1, -1>, -1, 1, true>, -1, 1, false>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:168:117:   required from 'void glmmr::ModelOptim<modeltype>::ml_beta() [with algo = NEWUOA; <template-parameter-2-2> = void; modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  168 |   current_ll_var.first = (ll_current.col(0).tail(eval_size) - ll_current.col(0).tail(eval_size).mean()).square().sum() / (eval_size - 1);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1262:44:   required from 'Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> [with auto:54 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1262 |         ptr->optim.template ml_beta<NEWUOA>();
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_beta(SEXP, int, int)::<lambda(int)>, Model__ml_beta(SEXP, int, int)::<lambda(auto:54)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1270:13:   required from here
 1270 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_square_op<double>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_square_op<double>, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:812:75:   required from 'void glmmr::ModelOptim<modeltype>::nr_beta() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
  812 |   if(trace > 1)Rcpp::Rcout << "\nESS: " << 1.0 / re.u_weight_.square().sum();
      |                                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1316:36:   required from 'Model__nr_beta(SEXP, int)::<lambda(auto:57)> [with auto:57 = Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >]'
 1316 |     [](auto ptr){ptr->optim.nr_beta();}
      |                  ~~~~~~~~~~~~~~~~~~^~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2655:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1504:49:   required from 'Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1504 |     diff = ((weights-weightsnew).abs()).maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:2320:48:   required from here
 2320 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   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]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   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>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
      |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:448:74:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  448 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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<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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  328 |       if (k>0) x -= A10.squaredNorm();
      |                     ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   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>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = 1; ResScalar = double]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; int UpLo = 1; int Version = 0; ResScalar = double]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:345:21:   required from here
  345 |   MatrixXd ZL = Z * P;
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:345:21:   required from here
  345 |   MatrixXd ZL = Z * P;
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:387:24:   required from here
  387 |   VectorXd uquad = u * L;
      |                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   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> > >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:501:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff(IndexType*) const [with IndexType = long long int; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  501 |       return maxCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::Matrix<double, -1, 1>, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:71:   required from here
  427 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::TranspositionsBase<Eigen::Transpositions<-1, -1, int> > >, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:610:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:71:   required from here
  427 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpositions<-1, -1, int>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:577:26:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:215:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                                                                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0> >; Scalar = double]'
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:280:57:   required from here
  280 |       double tr_val = -0.5 * T * (S_A[j] * S_A[k]).trace();
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >; Scalar = double]'
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64:   required from here
  322 |       grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >; Scalar = double]'
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64:   required from here
  322 |       grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >; Scalar = double]'
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:455:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::addTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >]'
  455 |       scaleAndAddTo(dst,lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:163:42:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::MatrixWrapper<Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<Eigen::Array<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:110:23:   required from 'typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real Eigen::MatrixBase<Derived>::norm() const [with Derived = Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >; typename Eigen::NumTraits<typename Eigen::internal::traits<T>::Scalar>::Real = double; typename Eigen::internal::traits<T>::Scalar = double]'
  110 |   return numext::sqrt(squaredNorm());
      |                       ^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1198:115:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(int)>, Model__check_convergence(SEXP, double, int, int, int, int)::<lambda(auto:61)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1363:22:   required from here
 1363 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_min_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_min_op<double, double, 0>; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:433:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  433 |   return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Matrix<double, -1, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |       return minCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:756:57:   required from 'void glmmr::Model<modeltype>::check_for_errors(const std::string&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>]'
  756 |     diagnostics << "y range: [" << model.data.y.minCoeff() << ", " << model.data.y.maxCoeff() << "]" << std::endl;
      |                                    ~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1662:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1664:13:   required from here
 1664 |   std::visit(functor, model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::scalar_min_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_min_op<double, double, 0>; Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:433:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with int NaNPropagation = 0; Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  433 |   return derived().redux(Eigen::internal::scalar_min_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:463:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff() const [with Derived = Eigen::Matrix<double, -1, -1>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |       return minCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:761:53:   required from 'void glmmr::Model<modeltype>::check_for_errors(const std::string&, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; std::string = std::__cxx11::basic_string<char>]'
  761 |       diagnostics << "u_ range: [" << re.u_.minCoeff() << ", " << re.u_.maxCoeff() << "]" << std::endl;
      |                                       ~~~~~~~~~~~~~~^~
model_module.cpp:1662:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__check_for_errors(SEXP, int)::<lambda(int)>, Model__check_for_errors(SEXP, int)::<lambda(auto:88)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1664:13:   required from here
 1664 |   std::visit(functor, model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modelmatrix.hpp:1310:47:   required from 'void glmmr::ModelMatrix<modeltype>::posterior_u_samples(int, bool, bool, bool) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1310 |       diff = (b - bnew).array().abs().maxCoeff();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
model_module.cpp:1801:50:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Array<double, -1, -1>, -1, -1, false>; SrcXprType = Eigen::Array<double, -1, -1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, -1>, -1, -1, false>; Src = Eigen::Array<double, -1, -1>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:41:28:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25:   required from here
 2155 |   auto S_re = std::visit(functor_re,model.ptr);
      |               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  377 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   required from 'struct Eigen::internal::unary_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_score_coeff_op<double>, const Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:377:63:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  377 |         = lu.col(k).tail(rows-k).unaryExpr(Scoring()).maxCoeff(&row_of_biggest_in_col);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<Eigen::Matrix<double, -1, 1> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/covariance.hpp:909:85:   required from here
  909 |         size_B_array[b] = -0.5*(blocksize * LOG2PI + logdet_val + zquad.transpose()*zquad);
      |                                                                                     ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:345:21:   required from here
  345 |   MatrixXd ZL = Z * P;
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const 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> > > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const 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> > > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::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> > >; 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>; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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>; int Options = 0; XprType = Eigen::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [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>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/hsgpcovariance.hpp:388:65:   required from here
  388 |   ll += -0.5*hsgp_data.rows() * LOG_2PI - 0.5*uquad.transpose()*uquad - 0.5*logdet;
      |                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 0, 1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0, 1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0, 1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   required from 'Derived& Eigen::DenseBase<Derived>::operator/=(const Scalar&) [with Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:67:   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]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:427:71:   required from here
  427 |     A.block(0,i,idxlim,1) = S.block(0,0,idxlim,idxlim).ldlt().solve(Sv);
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::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]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<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::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<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::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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, true>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>; U = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/randomeffects.hpp:79:51:   required from 'void glmmr::RandomEffects<modeltype>::update_zu(bool) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>]'
   79 |       double llprior = -0.5 * scaled_u_.col(i).dot(u_solve_.col(i));
      |                               ~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
../inst/include/glmmr/model.hpp:116:15:   required from 'void glmmr::Model<modeltype>::update_theta(const dblvec&) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; dblvec = std::vector<double>]'
  116 |   re.update_zu(false);
      |   ~~~~~~~~~~~~^~~~~~~
model_module.cpp:1019:24:   required from here
 1019 |       ptr->update_theta(theta);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; RhsT = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Func = Eigen::internal::add_assign_op<double, double>; Scalar = 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >]'
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, 1, true>; 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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modelmatrix.hpp:1370:39:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1047:31:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1047 |     Pr_sqnorm = Pr.squaredNorm();
      |                 ~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   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::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/modeloptim.hpp:1143:48:   required from 'void glmmr::ModelOptim<modeltype>::nr_theta_gaussian() [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>]'
 1143 |   double max_step = step.array().abs().maxCoeff();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/model.hpp:595:30:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = swap_assign_op<double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; SrcXprType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Src = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; Derived = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>]'
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:483:24:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  483 |         A_0.row(i).swap(A_0.row(piv));
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Matrix<double, -1, -1>, 2, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/calculator.hpp:1317:36:   required from here
 1317 |   VectorXd Hmean = H.rowwise().sum();
      |                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 2, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   required from 'static void Eigen::internal::dense_assignment_loop<Kernel, 3, 0>::run(Kernel&) [with Kernel = Eigen::internal::generic_dense_assignment_kernel<Eigen::internal::evaluator<Eigen::Matrix<double, -1, 1> >, Eigen::internal::evaluator<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1> >, Eigen::internal::assign_op<double, double>, 0>]'
  437 |       kernel.template assignPacket<dstAlignment, srcAlignment, PacketType>(index);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:785:37:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<double, -1, 1>; SrcXprType = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Functor = assign_op<double, double>]'
  785 |   dense_assignment_loop<Kernel>::run(kernel);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, member_sum<double, double>, 1>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_sum<double, double>, 1>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/calculator.hpp:1317:36:   required from here
 1317 |   VectorXd Hmean = H.rowwise().sum();
      |                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = const Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  333 |       if (rs>0) A21 /= x;
      |                 ~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:171:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; OtherType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int UpLo = 1; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; unsigned int UpLo = 1; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:365:64:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  365 |       if(rs>0) A22.template selfadjointView<Lower>().rankUpdate(A21,typename NumTraits<RealScalar>::Literal(-1)); // bottleneck
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:87:38:   required from '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>'
   87 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   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, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:91:42:   required from '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>'
   91 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   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, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:95:45:   required from '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>'
   95 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:253:134:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  252 |       general_matrix_vector_product
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  253 |           <Index,LhsScalar,LhsMapper,ColMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  254 |           actualLhs.rows(), actualLhs.cols(),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  255 |           LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  256 |           RhsMapper(actualRhs.data(), actualRhs.innerStride()),
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  257 |           dest.data(), 1,
      |           ~~~~~~~~~~~~~~~                                                                                                             
  258 |           compatibleAlpha);
      |           ~~~~~~~~~~~~~~~~                                                                                                            
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   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, true>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Scalar = double]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Dest::Scalar = double]'
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; 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>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Matrix<double, -1, 1>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Matrix<double, -1, 1>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:147:71:   required from here
  147 |     double au = u(i) - (A.col(i).segment(0,idxlim).transpose() * usec)(0);
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:530:29:   required from 'Eigen::DenseBase<Derived>::CoeffReturnType Eigen::DenseBase<Derived>::value() const [with Derived = Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double]'
  530 |       return derived().coeff(0,0);
      |              ~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:185:74:   required from here
  185 |     Dvec(i) = val - (A.col(i).head(idxlim).transpose() * Sv.head(idxlim))(0);
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Transpose<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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Rhs = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; int Options = 0; XprType = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:430:133:   required from here
  430 |     for(int l = 0; l < npars; l++) dD(l)(i) = s0vals[l+1] - (Sv.segment(idxlim*(l+1),idxlim).transpose()*A.col(i).segment(0,idxlim))(0) - (Sv.head(idxlim).transpose() * dA(l).col(i).segment(0,idxlim))(0);
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:381:23:   required from 'Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  381 |   { return Base::coeff(IsRowMajor ? outer : inner, IsRowMajor ? inner : outer); }
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:202:33:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 0, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0> >; Scalar = double]'
  202 |     res = eval.coeffByOuterInner(0, 0);
      |           ~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:322:64:   required from here
  322 |       grad_j += uweight(i) * (U.transpose() * S_A[j] * V).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |             ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; Rhs = Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = false; typename Dest::Scalar = double]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; bool NeedToTranspose = false; ResScalar = double]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; 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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1104:31:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
  274 |   evaluator<Rhs> rhsEval(rhs);
      |                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 5>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>]'
  329 |     internal::outer_product_selector_run(dst, lhs, rhs, sub(), is_row_major<Dst>());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Src = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>; Lhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>; Func = generic_product_impl<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:73:27:   required from here
   73 |     return matL.matrixL() * Z;
      |            ~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:73:27:   required from here
   73 |     return matL.matrixL() * Z;
      |            ~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:73:27:   required from here
   73 |     return matL.matrixL() * Z;
      |            ~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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 = const Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:73:27:   required from here
   73 |     return matL.matrixL() * Z;
      |            ~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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::Transpose<const 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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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::Transpose<const 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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:345:21:   required from here
  345 |   MatrixXd ZL = Z * P;
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:345:21:   required from here
  345 |   MatrixXd ZL = Z * P;
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:345:21:   required from here
  345 |   MatrixXd ZL = Z * P;
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:379:59:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >; Rhs = Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >; typename Dest::Scalar = double]'
  379 |       dest.coeffRef(i) += alpha * (lhs.row(i).cwiseProduct(actual_rhs.transpose())).sum();
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:12:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/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::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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:196:82:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0> >, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const 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::Matrix<double, -1, -1> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; 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::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; 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::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25:   required from here
 2155 |   auto S_re = std::visit(functor_re,model.ptr);
      |               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25:   required from here
 2155 |   auto S_re = std::visit(functor_re,model.ptr);
      |               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
      |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:97:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:125:66:   required from 'static void Eigen::internal::triangular_solve_vector<LhsScalar, RhsScalar, Index, 1, Mode, Conjugate, 0>::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long long int; int Mode = 1; bool Conjugate = false]'
  125 |             Map<Matrix<RhsScalar,Dynamic,1> >(rhs+s,r) -= rhs[i] * cjLhs.col(i).segment(s,r);
      |                                                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:57:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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/4.6/RcppEigen/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, -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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:334:15:   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 = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  334 |       pack_rhs(geb, rhs.getSubMapper(actual_k2,IsLower ? 0 : k2), actual_kc, rs);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = const Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int ProductTag = 8; Scalar = double]'
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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 = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int ResInnerStride = 1; int Version = 0]'
  346 |           pack_rhs_panel(blockB+j2*actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  347 |                          rhs.getSubMapper(actual_k2+panelOffset, actual_j2),
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  348 |                          panelLength, actualPanelWidth,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  349 |                          actual_kc, panelOffset);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = const Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int ProductTag = 8; Scalar = double]'
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Derived = Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::assign_op<double, double>; Scalar = 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::Matrix<double, -1, -1>]'
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25:   required from here
 2155 |   auto S_re = std::visit(functor_re,model.ptr);
      |               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:179:15:   required from here
  179 |     xb = X_ * beta;
      |               ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:303:42:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:73:27:   required from here
   73 |     return matL.matrixL() * Z;
      |            ~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:42:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:73:27:   required from here
   73 |     return matL.matrixL() * Z;
      |            ~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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::Transpose<const 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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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::Transpose<const 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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:345:21:   required from here
  345 |   MatrixXd ZL = Z * P;
      |                     ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = div_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Functor = Eigen::internal::div_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 1, 1> >; Func = div_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, 1, 1, 0, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1, 1, false>; Scalar = double]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:599:18:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:587:39:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Eigen::PartialPivLU<MatrixType> >, Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename Eigen::PartialPivLU<MatrixType>::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; MatrixType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1> > >; typename DstXprType::Scalar = double; typename Eigen::PartialPivLU<MatrixType>::Scalar = double]'
  587 |     dst = src.nestedExpression().solve(MatrixType::Identity(src.rows(), src.cols()));
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]'
  322 |     compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1202:71:   required from here
 1202 |       MatrixXd info_inv = ptr->model.covariance.infomat_theta.inverse();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Block<const Eigen::Transpose<const Eigen::MatrixWrapper<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, const Eigen::Replicate<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 1, -1> > > >, 1, -1, true>, const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__nr_beta(SEXP, int)::<lambda(int)>, Model__nr_beta(SEXP, int)::<lambda(auto:57)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1318:13:   required from here
 1318 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1472:53:   required from here
 1472 |   Eigen::MatrixXd M = Xmat.transpose() * SigmaInv * Xmat;
      |                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_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> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25:   required from here
 2155 |   auto S_re = std::visit(functor_re,model.ptr);
      |               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:57:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from 'Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
 1207 |       Base::operator=(other); \
      |       ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from 'Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Matrix<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
 1207 |       Base::operator=(other); \
      |       ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; bool IsVector = false; Eigen::Index = long long int]'
 1025 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, true>::run(Eigen::DenseBase<Derived>&, Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; OtherDerived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
 1083 |       Base::run(_this.derived(), new_rows, new_cols);
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index) [with Derived = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
  426 |       internal::conservative_resize_like_impl<Derived>::run(*this, size);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/algo.h:126:28:   required from here
  126 |   matrix.conservativeResize(nSize);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   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> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:337:
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   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]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   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]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>; Rhs = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; typename Dest::Scalar = double]'
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Array<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Array<double, -1, 1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>; Src = Eigen::Block<Eigen::Array<double, -1, 1>, -1, -1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:109:32:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:161:5:   required from 'Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>& Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>::operator=(const Eigen::BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Eigen::Dense>&) [with XprType = Eigen::Array<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
 1207 |       Base::operator=(other); \
      |       ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:111:5:   required from 'Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>& Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>::operator=(const Eigen::Block<XprType, BlockRows, BlockCols, InnerPanel>&) [with XprType = Eigen::Array<double, -1, 1>; int BlockRows = -1; int BlockCols = -1; bool InnerPanel = false]'
 1207 |       Base::operator=(other); \
      |       ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1025:46:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, IsVector>::run(Eigen::DenseBase<Derived>&, Eigen::Index, Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; OtherDerived = Eigen::Array<double, -1, 1>; bool IsVector = false; Eigen::Index = long long int]'
 1025 |       tmp.block(0,0,common_rows,common_cols) = _this.block(0,0,common_rows,common_cols);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:1083:16:   required from 'static void Eigen::internal::conservative_resize_like_impl<Derived, OtherDerived, true>::run(Eigen::DenseBase<Derived>&, Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; OtherDerived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]'
 1083 |       Base::run(_this.derived(), new_rows, new_cols);
      |       ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:426:60:   required from 'void Eigen::PlainObjectBase<Derived>::conservativeResize(Eigen::Index) [with Derived = Eigen::Array<double, -1, 1>; Eigen::Index = long long int]'
  426 |       internal::conservative_resize_like_impl<Derived>::run(*this, size);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
../inst/include/glmmr/calculator.hpp:1224:30:   required from here
 1224 |   variance.conservativeResize(calc.variance.size());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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, -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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; 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>; 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> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:302:15:   required from here
  302 |     return As * As.transpose();
      |            ~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::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> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = 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::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1340:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1340 |       MatrixXd U = -1.0* XW * XWX * XW.transpose();
      |                ^
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; RhsT = Eigen::Matrix<double, -1, -1>; Func = Eigen::internal::sub_assign_op<double, double>; Scalar = 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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >; Rhs = Eigen::Matrix<double, -1, -1>]'
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__infomat_theta(SEXP, int)::<lambda(int)>, Model__infomat_theta(SEXP, int)::<lambda(auto:113)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2028:22:   required from here
 2028 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<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::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from '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]'
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   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]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   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]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   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]'
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   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]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   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]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, -1, 1, true>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:177:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:533:57:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  533 |     m_l1_norm = m_lu.cwiseAbs().colwise().sum().maxCoeff();
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:179:15:   required from here
  179 |     xb = X_ * beta;
      |               ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>; Rhs = Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::TriangularView<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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:69:14:   required from here
   69 |     return Z * matL.matrixL();
      |            ~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:73:27:   required from here
   73 |     return matL.matrixL() * Z;
      |            ~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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::Transpose<const 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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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::Transpose<const 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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:344:23:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  344 |       return unblocked(m);
      |              ~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::unblocked(MatrixType&) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Scalar = double; Eigen::Index = long long int]'
  332 |       if (k>0 && rs>0) A21.noalias() -= A20 * A10.adjoint();
      |                        ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:363:24:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  363 |       if((ret=unblocked(A11))>=0) return k+ret;
      |               ~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   required from 'Eigen::LLT<_MatrixType, _UpLo>& Eigen::LLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  456 |   bool ok = Traits::inplace_decomposition(m_matrix);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
../inst/include/glmmr/covariance.hpp:83:17:   required from here
   83 |     matL.compute(matD);
      |     ~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Matrix<double, -1, 1> >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Matrix<double, -1, 1> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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> >, const Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [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> >, const Eigen::Matrix<double, -1, 1> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1>; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/hsgpcovariance.hpp:387:24:   required from here
  387 |   VectorXd uquad = u * L;
      |                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   required from 'Eigen::LDLT<_MatrixType, _UpLo>& Eigen::LDLT<MatrixType, UpLo>::compute(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   required from 'Eigen::LDLT<MatrixType, UpLo>::LDLT(const Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = Eigen::Matrix<double, -1, -1>; int _UpLo = 1]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   required from 'const Eigen::LDLT<typename Eigen::DenseBase<Derived>::PlainObject> Eigen::MatrixBase<Derived>::ldlt() const [with Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Eigen::DenseBase<Derived>::PlainObject = Eigen::Matrix<double, -1, -1>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:64:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1283:52:   required from here
 1283 |     ArrayXd d0prod = (Phi_d0 * re.u_.col(i)).array();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:37:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const 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/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(int)>, Model__posterior_u_sample(SEXP, int, bool, bool, bool, int)::<lambda(auto:97)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1803:13:   required from here
 1803 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 16, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 16, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 16, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = 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> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = generic_product_impl<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> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1497:58:   required from 'Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]'
 1497 |       holder.segment(0,block_size) = Sigmas[i] * Xs[i] * Mc;
      |                                                          ^~
model_module.cpp:2320:48:   required from here
 2320 |   Eigen::ArrayXd w = ptr->optim.optimum_weights(N,C,tol);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:175:44:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, false> >, const Eigen::Block<const Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   required from 'ExpressionType& Eigen::NoAlias<ExpressionType, StorageBase>::operator-=(const StorageBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>; ExpressionType = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >; StorageBase = Eigen::MatrixBase]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:495:23:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  495 |         A22.noalias() -= A21 * A12;
      |         ~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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, -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> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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, -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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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, -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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<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/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 2, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 2, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 2, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 2, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 2, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:790:80:   required from 'PacketType Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>, Eigen::internal::IndexBased, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; BinaryOp = Eigen::internal::scalar_quotient_op<double, double>; Lhs = const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>; Rhs = const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Lhs = Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs>::Scalar = double; typename Eigen::CwiseBinaryOp<BinaryOp, Lhs, Rhs>::Rhs = Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >; Eigen::Index = long long int]'
  790 |     return m_d.func().packetOp(m_d.lhsImpl.template packet<LoadMode,PacketType>(index),
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:357:58:   required from 'PacketType Eigen::internal::unary_evaluator<Eigen::Transpose<Derived>, Eigen::internal::IndexBased>::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >; typename Eigen::Transpose<Derived>::Scalar = double; Eigen::Index = long long int]'
  357 |     return m_argImpl.template packet<LoadMode,PacketType>(index);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:681:114:   required from 'void Eigen::internal::generic_dense_assignment_kernel<DstEvaluatorTypeT, SrcEvaluatorTypeT, Functor, Version>::assignPacket(Eigen::Index) [with int StoreMode = 16; int LoadMode = 0; PacketType = __vector(2) double; DstEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Matrix<double, 1, -1> >; SrcEvaluatorTypeT = Eigen::internal::evaluator<Eigen::Transpose<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::PartialReduxExpr<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::internal::member_sum<double, double>, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > > >; Functor = Eigen::internal::assign_op<double, double>; int Version = 0; Eigen::Index = long long int]'
  681 |     m_functor.template assignPacket<StoreMode>(&m_dst.coeffRef(index), m_src.template packet<LoadMode,PacketType>(index));
      |                                                                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:437:75:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:116)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2075:24:   required from here
 2075 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:400:77:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::unblocked_lu(MatrixTypeRef&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int; MatrixTypeRef = Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >]'
  400 |         lu.bottomRightCorner(fix<RRows>(rrows),fix<RCols>(rcols)).noalias() -= lu.col(k).tail(fix<RRows>(rrows)) * lu.row(k).tail(fix<RCols>(rcols));
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:439:26:   required from 'static Eigen::Index Eigen::internal::partial_lu_impl<Scalar, StorageOrder, PivIndex, SizeAtCompileTime>::blocked_lu(Eigen::Index, Eigen::Index, Scalar*, Eigen::Index, PivIndex*, PivIndex&, Eigen::Index) [with Scalar = double; int StorageOrder = 0; PivIndex = int; int SizeAtCompileTime = -1; Eigen::Index = long long int]'
  439 |       return unblocked_lu(lu, row_transpositions, nb_transpositions);
      |              ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:519:17:   required from 'void Eigen::internal::partial_lu_inplace(MatrixType&, TranspositionType&, typename TranspositionType::StorageIndex&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; typename TranspositionType::StorageIndex = int]'
  515 |   partial_lu_impl
      |   ~~~~~~~~~~~~~~~
  516 |     < typename MatrixType::Scalar, MatrixType::Flags&RowMajorBit?RowMajor:ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  517 |       typename TranspositionType::StorageIndex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  518 |       EIGEN_SIZE_MIN_PREFER_FIXED(MatrixType::RowsAtCompileTime,MatrixType::ColsAtCompileTime)>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  519 |     ::blocked_lu(lu.rows(), lu.cols(), &lu.coeffRef(0,0), lu.outerStride(), &row_transpositions.coeffRef(0), nb_transpositions);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:543:31:   required from 'void Eigen::PartialPivLU<MatrixType>::compute() [with _MatrixType = Eigen::Matrix<double, -1, -1>]'
  543 |   internal::partial_lu_inplace(m_lu, m_rowsTranspositions, nb_transpositions);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:328:10:   required from 'Eigen::PartialPivLU<MatrixType>::PartialPivLU(Eigen::EigenBase<OtherDerived>&) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  328 |   compute();
      |   ~~~~~~~^~
../inst/include/glmmr/maths.h:444:56:   required from here
  444 |       pluDzz = Eigen::PartialPivLU<Eigen::MatrixXd>(Dzz);
      |                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Derived = Eigen::Matrix<double, -1, 1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/linearpredictor.hpp:179:15:   required from here
  179 |     xb = X_ * beta;
      |               ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::CwiseBinaryOp<Eigen::internal::scalar_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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, 1>; DecType = Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Matrix<double, -1, 1>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, 1>; Src = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; Derived = Eigen::Matrix<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Matrix<double, -1, 1> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/covariance.hpp:53:22:   required from here
   53 |     return matL.solve(x);
      |            ~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1283:52:   required from here
 1283 |     ArrayXd d0prod = (Phi_d0 * re.u_.col(i)).array();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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<const 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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:114:15:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:464:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  464 |       scaleAndAddTo(dst, lhs, rhs, Scalar(-1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   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]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix<double, -1, -1>; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:171:32:   required from here
  171 |   MatrixXd M = U.transpose() * W;
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = Eigen::Matrix<double, -1, -1>; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 0; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:775:40:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__residuals(SEXP, int, bool, int)::<lambda(int)>, Model__residuals(SEXP, int, bool, int)::<lambda(auto:96)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1792:22:   required from here
 1792 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, 0>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = 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>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1>, -1, 1, false>; 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::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, -1>, -1, 1, false>; Src = 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>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, -1>, -1, 1, false>; Src = 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>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   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::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25:   required from here
 2155 |   auto S_re = std::visit(functor_re,model.ptr);
      |               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1>, -1, 1, false>; 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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, -1, 1, true> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 1; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::Product<Eigen::Matrix<double, -1, -1>, Eigen::DiagonalWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_max_op<double, double, 0>, const Eigen::Matrix<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Matrix<double, -1, 1> > > >, 1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/algo.h:137:113:   required from here
  137 |   mat = solver.eigenvectors() * solver.eigenvalues().cwiseMax(0).asDiagonal() * solver.eigenvectors().transpose();
      |                                                                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   required from 'static void Eigen::internal::Assignment<DstXprType, SrcXprType, Functor, Eigen::internal::Dense2Dense, Weak>::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Array<double, -1, 1>; SrcXprType = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Array<double, -1, 1>; Src = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; Derived = Eigen::Array<double, -1, 1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:288:29:   required from 'Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Array(const Eigen::EigenBase<OtherDerived>&, typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type) [with OtherDerived = Eigen::ArrayWrapper<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1; typename Eigen::internal::enable_if<std::is_convertible<typename OtherDerived::Scalar, typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar>::value, PrivateType>::type = Eigen::Array<double, -1, 1>::PrivateType; typename OtherDerived::Scalar = double; typename Eigen::internal::traits<Eigen::Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >::Scalar = double]'
  288 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1283:52:   required from here
 1283 |     ArrayXd d0prod = (Phi_d0 * re.u_.col(i)).array();
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const 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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const 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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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<const 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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   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<const Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   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<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/modeloptim.hpp:1338:16:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1338 |       MatrixXd XWX = X.transpose() * XW;
      |                ^~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -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::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Block<Eigen::Matrix<double, -1, -1, 1, -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::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -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> >, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(int)>, Model__predict(SEXP, SEXP, SEXP, int, int)::<lambda(auto:121)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2155:25:   required from here
 2155 |   auto S_re = std::visit(functor_re,model.ptr);
      |               ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<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>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = swap_assign_op<double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, true>; SrcXprType = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Functor = Eigen::internal::swap_assign_op<double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>; Src = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Func = swap_assign_op<double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:424:22:   required from 'void Eigen::DenseBase<Derived>::swap(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>]'
  424 |       call_assignment(derived(), other.const_cast_derived(), internal::swap_assign_op<Scalar>());
      |       ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1129:51:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:184:88:   required from here
  184 |     A.col(i).head(idxlim) = S.topLeftCorner(idxlim,idxlim).ldlt().solve(Sv.head(idxlim));
      |                                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int Options = 0; Scalar = double; SrcXprType = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
../inst/include/glmmr/ar1covariance.hpp:131:65:   required from here
  131 |     MatrixXd LU = matL.matrixL() * U * ar_factor_chol.transpose();
      |                                                                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::PermutationMatrix<-1, -1, int>, Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 2>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:234:28:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]'
  322 |     compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1202:71:   required from here
 1202 |       MatrixXd info_inv = ptr->model.covariance.infomat_theta.inverse();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; Derived = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1>, 1, -1, true>, 1, -1, false>; 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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:370:80:   required from here
  370 |       m_jr += uweight(i) * (U.transpose() * S_A[j] * V * S_R.transpose()).trace();
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>; Derived = 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, -1, -1> >, const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__ml_theta(SEXP, int, int)::<lambda(int)>, Model__ml_theta(SEXP, int, int)::<lambda(auto:55)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1289:13:   required from here
 1289 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, Option>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >; int Options = 0; XprType = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:145:24:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  145 |       return internal::evaluator<Derived>(derived()).coeff(index);
      |                        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Product<Eigen::Product<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
../inst/include/glmmr/maths.h:436:52:   required from here
  436 |       xbnew(i) += (Z.row(i)*D*Z.row(i).transpose())(0)/2;
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 28 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; Rhs = Eigen::Matrix<double, -1, -1>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, Eigen::Matrix<double, -1, -1>, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   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, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:215:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                                                                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >, const Eigen::MatrixWrapper<Eigen::Array<double, -1, 1> > >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(int)>, Model__log_gradient(SEXP, SEXP, SEXP, int)::<lambda(auto:47)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1154:22:   required from here
 1154 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(int)>, Model__fit(SEXP, int, int, bool, double, int, int, int)::<lambda(auto:100)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = void]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:1835:13:   required from here
 1835 |   std::visit(functor,model.ptr);
      |   ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 27 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 30 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:215:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                                                                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Transpose<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits<typename Eigen::Product<Lhs, Rhs, 1>::Rhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Rhs = Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   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<const Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:74:22:   required from 'Eigen::internal::evaluator<Eigen::Diagonal<const Eigen::Product<Lhs, Rhs, 0>, DiagIndex> >::evaluator(const XprType&) [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; int DiagIndex = 0; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
   74 |         xpr.index() ))
      |                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:363:58:   required from 'Eigen::internal::redux_evaluator<_XprType>::redux_evaluator(const XprType&) [with _XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; XprType = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>]'
  363 |   explicit redux_evaluator(const XprType &xpr) : Base(xpr) {}
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Diagonal<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:510:34:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::MatrixBase<Derived>::trace() const [with Derived = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>; typename Eigen::internal::traits<T>::Scalar = double]'
  510 |   return derived().diagonal().sum();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~^~
../inst/include/glmmr/ar1covariance.hpp:333:73:   required from here
  333 |     grad_rho += uweight(i) * (U.transpose() * V * S_R.transpose()).trace();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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::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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, Option>::Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; 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>; XprType = Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, 1>, 0>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   required from 'Eigen::internal::dense_product_base<Lhs, Rhs, Option, 6>::operator const Scalar() const [with Lhs = Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Matrix<double, -1, 1>; int Option = 0; Scalar = double]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1348:92:   required from 'void glmmr::ModelOptim<modeltype>::calculate_var_par() [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>]'
 1348 |       double new_var_par = (1.0 /( model.n() - X.cols())) * (resid.transpose() * U * resid + ZUZC.trace());
      |                                                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1310:20:   required from here
 1310 |   calculate_var_par();
      |   ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>; Src = 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>; Src = 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/maths.h:443:90:   required from here
  443 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:1050:11:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]'
  322 |     compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1202:71:   required from here
 1202 |       MatrixXd info_inv = ptr->model.covariance.infomat_theta.inverse();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__sandwich(SEXP, int)::<lambda(int)>, Model__sandwich(SEXP, int)::<lambda(auto:112)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2017:22:   required from here
 2017 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 29 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__kenward_roger(SEXP, int)::<lambda(int)>, Model__kenward_roger(SEXP, int)::<lambda(auto:114)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2039:22:   required from here
 2039 |   auto S = std::visit(functor,model.ptr);
      |            ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:147:26:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Solve<DecType, RhsType>, Eigen::internal::assign_op<Scalar, Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<Scalar, Scalar>&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; DecType = Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>; RhsType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> >; Scalar = double; SrcXprType = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  147 |     src.dec()._solve_impl(src.rhs(), dst);
      |     ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Src = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1>, 1>, Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, const Eigen::Product<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/nngpcovariance.hpp:428:215:   required from here
  428 |     for(int l = 0; l < npars; l++) dA(l).block(0,i,idxlim,1) = S.block(0,idxlim*(l+1),idxlim,idxlim).ldlt().solve(Sv.segment(idxlim*(l+1),idxlim) - S.block(0,idxlim*(l+1),idxlim,idxlim) * A.col(i).segment(0,idxlim));
      |                                                                                                                                                                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/maths.h:443:90:   required from here
  443 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<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> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<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> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<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> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const 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::Matrix<double, -1, -1> >, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/maths.h:455:92:   required from here
  455 |       Dzz = c*D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_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<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; Derived = Eigen::Matrix<double, -1, -1>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Product<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>, Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 0>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> > >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
../inst/include/glmmr/maths.h:443:90:   required from here
  443 |       Dzz = D*Z.row(i).transpose()*Z.row(i) + Eigen::MatrixXd::Identity(D.rows(),D.cols());
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 33 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/algo.h:136:52:   required from here
  136 |   const SelfAdjointEigenSolver<MatrixXd> solver(mat);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; SrcXprType = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::CwiseNullaryOp<Eigen::internal::scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; Src = Eigen::Block<const Eigen::CwiseNullaryOp<scalar_identity_op<double>, Eigen::Matrix<double, -1, -1> >, 1, -1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/LU/InverseImpl.h:322:60:   required from 'static void Eigen::internal::Assignment<DstXprType, Eigen::Inverse<Rhs>, Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op<typename DstXprType::Scalar, typename SrcXprType::Scalar>&) [with DstXprType = Eigen::Matrix<double, -1, -1>; XprType = Eigen::Matrix<double, -1, -1>; SrcXprType = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; typename DstXprType::Scalar = double; typename SrcXprType::Scalar = double]'
  322 |     compute_inverse<ActualXprTypeCleanded, DstXprType>::run(actual_xpr, dst);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix<double, -1, -1>; Src = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase<OtherDerived>&) [with OtherDerived = Eigen::Inverse<Eigen::Matrix<double, -1, -1> >; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
model_module.cpp:1202:71:   required from here
 1202 |       MatrixXd info_inv = ptr->model.covariance.infomat_theta.inverse();
      |                                                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 38 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 32 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:2671:12:   required from 'struct std::__invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 2671 |     struct __invoke_result
      |            ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3158:12:   required from 'struct std::invoke_result<overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&>'
 3158 |     struct invoke_result
      |            ^~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/type_traits:3170:11:   required by substitution of 'template<class _Fn, class ... _Args> using std::invoke_result_t = typename std::invoke_result::type [with _Fn = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Args = {Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>&}]'
 3170 |     using invoke_result_t = typename invoke_result<_Fn, _Args...>::type;
      |           ^~~~~~~~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1131:14:   required from 'constexpr bool std::__detail::__variant::__check_visitor_results(std::index_sequence<_Ind ...>) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variant = std::variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&; long long unsigned int ..._Idxs = {0, 1, 2, 3, 4}; std::index_sequence<_Ind ...> = std::integer_sequence<long long unsigned int, 0, 1, 2, 3, 4>]'
 1131 |       return __same_types<
      |              ^~~~~~~~~~~~~
 1132 |         invoke_result_t<_Visitor, __get_t<_Idxs, _Variant>>...
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
 1133 |         >;
      |         ~     
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/variant:1872:44:   required from 'constexpr std::__detail::__variant::__visit_result_t<_Visitor, _Variants ...> std::visit(_Visitor&&, _Variants&& ...) [with _Visitor = overloaded<Model__small_sample_correction(SEXP, int, bool, int)::<lambda(int)>, Model__small_sample_correction(SEXP, int, bool, int)::<lambda(auto:115)> >&; _Variants = {variant<int, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::Covariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor> > >, false>, Rcpp::XPtr<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> >, Rcpp::PreserveStorage, Rcpp::standard_delete_finalizer<glmmr::Model<glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor> > >, false> >&}; __detail::__variant::__visit_result_t<_Visitor, _Variants ...> = variant<int, double, bool, Eigen::Matrix<double, -1, 1, 0, -1, 1>, Eigen::Array<double, -1, 1, 0, -1, 1>, Eigen::Matrix<double, -1, -1, 0, -1, -1>, vector<double, allocator<double> >, vector<__cxx11::basic_string<char, char_traits<char>, allocator<char> >, allocator<__cxx11::basic_string<char, char_traits<char>, allocator<char> > > >, vector<int, allocator<int> >, VectorMatrix, MatrixMatrix, CorrectionData<glmmr::SE::KR>, CorrectionData<glmmr::SE::KR2>, CorrectionData<glmmr::SE::KRBoth>, CorrectionData<glmmr::SE::Sat>, vector<Eigen::Matrix<double, -1, -1, 0, -1, -1>, allocator<Eigen::Matrix<double, -1, -1, 0, -1, -1> > >, pair<double, double>, BoxResults, pair<int, int> >]'
 1871 |           constexpr bool __visit_rettypes_match = __detail::__variant::
      |                                                   ~~~~~~~~~~~~~~~~~~~~~
 1872 |             __check_visitor_results<_Visitor, _Vp>(
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
 1873 |               make_index_sequence<variant_size_v<remove_reference_t<_Vp>>>());
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
model_module.cpp:2060:24:   required from here
 2060 |     auto S = std::visit(functor,model.ptr);
      |              ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::ar1Covariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]':
../inst/include/glmmr/modeloptim.hpp:77:19:   required from here
   77 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
      |                   ^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1431:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1431 |       for(int i = 0 ; i < SB.size(); i++){
      |                       ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1477:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<Eigen::Matrix<double, -1, -1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1477 |           for(int k = 0; k < Xs.size(); k++){
      |                          ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1495:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1495 |     for(int i = 0 ; i < SB.size(); i++){
      |                     ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::hsgpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]':
../inst/include/glmmr/modeloptim.hpp:77:19:   required from here
   77 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
      |                   ^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1431:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1431 |       for(int i = 0 ; i < SB.size(); i++){
      |                       ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1477:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<Eigen::Matrix<double, -1, -1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1477 |           for(int k = 0; k < Xs.size(); k++){
      |                          ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1495:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1495 |     for(int i = 0 ; i < SB.size(); i++){
      |                     ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp: In instantiation of 'Eigen::ArrayXd glmmr::ModelOptim<modeltype>::optimum_weights(double, Eigen::VectorXd, double, int) [with modeltype = glmmr::ModelBits<glmmr::nngpCovariance, glmmr::LinearPredictor>; Eigen::ArrayXd = Eigen::Array<double, -1, 1>; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>]':
../inst/include/glmmr/modeloptim.hpp:77:19:   required from here
   77 |   virtual ArrayXd optimum_weights(double N, VectorXd C, double tol = 1e-5, int max_iter = 501);
      |                   ^~~~~~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1431:25: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1431 |       for(int i = 0 ; i < SB.size(); i++){
      |                       ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1477:28: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<Eigen::Matrix<double, -1, -1> >::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1477 |           for(int k = 0; k < Xs.size(); k++){
      |                          ~~^~~~~~~~~~~
../inst/include/glmmr/modeloptim.hpp:1495:23: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<glmmr::SigmaBlock>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
 1495 |     for(int i = 0 ; i < SB.size(); i++){
      |                     ~~^~~~~~~~~~~
In file included from ../inst/include/glmmr/optim/bobyqa_algo.h:201,
                 from ../inst/include/glmmr/optim/optim.h:15:
../inst/include/glmmr/optim/bobyqa_general.h: In function 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)':
../inst/include/glmmr/optim/bobyqa_general.h:990:9: warning: 'beta' may be used uninitialized [-Wmaybe-uninitialized]
  990 |   update(n, npt, &BMAT(1,1), &ZMAT(1,1), ndim, &vlag[1],
      |   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  991 |          beta, denom, knew, &w[1]);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~
../inst/include/glmmr/optim/bobyqa_general.h:450:37: note: 'beta' was declared here
  450 |   REAL adelt, alpha, bdtest, bdtol, beta, biglsq, bsum, cauchy, crvmin,
      |                                     ^~~~
../inst/include/glmmr/optim/bobyqa_general.h:1190:3: warning: 'ratio' may be used uninitialized [-Wmaybe-uninitialized]
 1190 |   if (ratio > zero) {
      |   ^~
../inst/include/glmmr/optim/bobyqa_general.h:453:31: note: 'ratio' was declared here
  453 |     gisq, gqsq, hdiag, pqold, ratio, rho, scaden, sum, suma, sumb, sumpq,
      |                               ^~~~~
In function 'void rescue(long int, long int, double (*)(long int, const double*, void*), void*, const double*, const double*, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, long int*, double, long int*, double*, double*, double*, double*)',
    inlined from 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)' at ../inst/include/glmmr/optim/bobyqa_general.h:707:9:
../inst/include/glmmr/optim/bobyqa_general.h:2294:20: warning: 'xp' may be used uninitialized [-Wmaybe-uninitialized]
 2294 |         vquad += xp*xq*hq[iw];
      |                  ~~^~~
../inst/include/glmmr/optim/bobyqa_general.h: In function 'int bobyqb(long int, long int, double (*)(long int, const double*, void*), void*, double*, const double*, const double*, double, double, long int, long int, double*, double*, double*, double*, double*, double*, double*, double*, double*, long int, double*, double*, double*, double*, double*, double*, double*)':
../inst/include/glmmr/optim/bobyqa_general.h:1954:51: note: 'xp' was declared here
 1954 |     sfrac, sum, sumpq, temp, vlmxsq, vquad, winc, xp, xq;
      |                                                   ^~
../inst/include/glmmr/optim/bobyqa_general.h:1955:18: warning: 'ihp' may be used uninitialized [-Wmaybe-uninitialized]
 1955 |   INTEGER i, ih, ihp, ihq, ip, iq, iw, j, jp, jpn, k, knew, kold, kpt,
      |                  ^~~
In file included from D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/RcppCommon.h:161,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/RcppEigenForward.h:26:
In function 'TO Rcpp::internal::caster(FROM) [with FROM = bool; TO = int]',
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::true_type) [with T = bool]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:460:65,
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = bool]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:471:46,
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = bool]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:495:40,
    inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = bool]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = bool]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from 'SEXPREC* Covariance__any_gr(SEXP, int)' at model_module.cpp:654:14:
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/caster.h:28:36: warning: 'gr' may be used uninitialized [-Wmaybe-uninitialized]
   28 |         return static_cast<TO>(from) ;
      |                                    ^
model_module.cpp: In function 'SEXPREC* Covariance__any_gr(SEXP, int)':
model_module.cpp:630:8: note: 'gr' was declared here
  630 |   bool gr;
      |        ^~
In file included from D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/RcppCommon.h:188:
In function 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = int]',
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:471:46,
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:495:40,
    inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from 'SEXPREC* Covariance__B(SEXP, int)' at model_module.cpp:379:14:
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:448:41: warning: 'B' may be used uninitialized [-Wmaybe-uninitialized]
  448 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
model_module.cpp: In function 'SEXPREC* Covariance__B(SEXP, int)':
model_module.cpp:352:7: note: 'B' was declared here
  352 |   int B;
      |       ^
In function 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = int]',
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:471:46,
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:495:40,
    inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from 'SEXPREC* Covariance__Q(SEXP, int)' at model_module.cpp:413:14:
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:448:41: warning: 'Q' may be used uninitialized [-Wmaybe-uninitialized]
  448 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
model_module.cpp: In function 'SEXPREC* Covariance__Q(SEXP, int)':
model_module.cpp:385:7: note: 'Q' was declared here
  385 |   int Q;
      |       ^
In function 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = int]',
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:471:46,
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:495:40,
    inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = int]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from 'SEXPREC* Covariance__n_cov_pars(SEXP, int)' at model_module.cpp:514:14:
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:448:41: warning: 'G' may be used uninitialized [-Wmaybe-uninitialized]
  448 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
model_module.cpp: In function 'SEXPREC* Covariance__n_cov_pars(SEXP, int)':
model_module.cpp:486:7: note: 'G' was declared here
  486 |   int G;
      |       ^
In function 'SEXPREC* Rcpp::internal::primitive_wrap__impl__cast(const T&, Rcpp::traits::false_type) [with T = double]',
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap__impl(const T&, Rcpp::traits::r_type_primitive_tag) [with T = double]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:471:46,
    inlined from 'SEXPREC* Rcpp::internal::primitive_wrap(const T&) [with T = double]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:495:40,
    inlined from 'SEXPREC* Rcpp::internal::wrap_dispatch(const T&, Rcpp::traits::wrap_type_primitive_tag) [with T = double]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:744:34,
    inlined from 'SEXPREC* Rcpp::wrap(const T&) [with T = double]' at D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap_end.h:30:38,
    inlined from 'SEXPREC* Covariance__get_val(SEXP, int, int, int)' at model_module.cpp:687:14:
D:/RCompile/CRANpkg/lib/4.6/Rcpp/include/Rcpp/internal/wrap.h:448:41: warning: 'gr' may be used uninitialized [-Wmaybe-uninitialized]
  448 |             r_vector_start<RTYPE>(x)[0] = object;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
model_module.cpp: In function 'SEXPREC* Covariance__get_val(SEXP, int, int, int)':
model_module.cpp:660:10: note: 'gr' was declared here
  660 |   double gr;
      |          ^~


g++  -std=gnu++17 -I"D:/RCompile/recent/R/include" -DNDEBUG -I"../inst/include" -I"D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DRCPP_PARALLEL_USE_TBB=1 -DUSE_STANC3  -D_HAS_AUTO_PTR_ETC=0 -fno-math-errno -O3 -I'D:/RCompile/CRANpkg/lib/4.6/Rcpp/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include' -I'D:/RCompile/CRANpkg/lib/4.6/BH/include' -I'D:/RCompile/CRANpkg/lib/4.6/RcppParallel/include' -I'D:/RCompile/CRANpkg/lib/4.6/rstan/include' -I'D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include'   -I"d:/rtools45/x86_64-w64-mingw32.static.posix/include"   -DRCPP_PARALLEL_USE_TBB=1 -I"D:/RCompile/CRANpkg/lib/4.6/RcppParallel/include" -D_REENTRANT -DSTAN_THREADS      -O2 -Wall  -mfpmath=sse -msse2 -mstackrealign    -c stanExports_mcml.cc -o stanExports_mcml.o
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:205,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Dense:1,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/rstaninc.hpp:3,
                 from stanExports_mcml.h:23,
                 from stanExports_mcml.cc:5:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:46:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   46 | typedef eigen_packet_wrapper<__m128i, 0> Packet4i;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:47:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   47 | typedef eigen_packet_wrapper<__m128i, 1> Packet16b;
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:49:39: warning: ignoring attributes on template argument '__m128' [-Wignored-attributes]
   49 | template<> struct is_arithmetic<__m128>  { enum { value = true }; };
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:50:40: warning: ignoring attributes on template argument '__m128i' [-Wignored-attributes]
   50 | template<> struct is_arithmetic<__m128i> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:51:40: warning: ignoring attributes on template argument '__m128d' [-Wignored-attributes]
   51 | template<> struct is_arithmetic<__m128d> { enum { value = true }; };
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:222:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
  222 | template<> struct unpacket_traits<Packet4f> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:228:43: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
  228 | template<> struct unpacket_traits<Packet2d> {
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1124:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
 1124 | ptranspose(PacketBlock<Packet4f,4>& kernel) {
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:1129:34: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
 1129 | ptranspose(PacketBlock<Packet2d,2>& kernel) {
      |                                  ^
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:174:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet4f' {aka '__m128'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:173:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  173 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:16:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   16 |   struct conj_helper<PACKET_REAL, PACKET_CPLX, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:29:60: warning: ignoring attributes on template argument 'Eigen::internal::Packet2d' {aka '__m128d'} [-Wignored-attributes]
   29 |   struct conj_helper<PACKET_CPLX, PACKET_REAL, false, false> {          \
      |                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:298:1: note: in expansion of macro 'EIGEN_MAKE_CONJ_HELPER_CPLX_REAL'
  298 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d)
      | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:165:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<float, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<float, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<float> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:24:46:   required from here
   24 |     ResAlignment = traits<Quaternion<float> >::Alignment
      |                                              ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(4) float>::half' {aka '__m128'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:271:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<float, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<float, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<float, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<float, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<float, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<float> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<float>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:27:3:   required from here
   27 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<float>::type' {aka '__m128'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 4>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:266:49:   required from 'struct Eigen::internal::traits<Eigen::Quaternion<double> >'
  266 |     Alignment = internal::traits<Coefficients>::Alignment,
      |                                                 ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:98:47:   required from here
   98 |     ResAlignment = traits<Quaternion<double> >::Alignment
      |                                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50:   required from 'class Eigen::QuaternionBase<Eigen::Quaternion<double> >'
   46 |   typedef typename Coefficients::CoeffReturnType CoeffReturnType;
      |                                                  ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:273:7:   required from 'class Eigen::Quaternion<double>'
  273 | class Quaternion : public QuaternionBase<Quaternion<_Scalar,_Options> >
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SIMD.h:102:3:   required from here
  102 |   {
      |   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/smart_ptr/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/shared_ptr.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/date_time/time_clock.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/date_time/posix_time/posix_time_types.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:15,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/rstaninc.hpp:4:
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/smart_ptr/detail/shared_count.hpp:294:33: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  294 |     explicit shared_count( std::auto_ptr<Y> & r ): pi_( new sp_counted_impl_p<Y>( r.get() ) )
      |                                 ^~~~~~~~
In file included from D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/memory:78,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:7:
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/smart_ptr/shared_ptr.hpp:354:31: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  354 |     explicit shared_ptr( std::auto_ptr<Y> & r ): px(r.get()), pn()
      |                               ^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/smart_ptr/shared_ptr.hpp:365:22: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  365 |     shared_ptr( std::auto_ptr<Y> && r ): px(r.get()), pn()
      |                      ^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/smart_ptr/shared_ptr.hpp:423:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  423 |     shared_ptr & operator=( std::auto_ptr<Y> & r )
      |                                  ^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/smart_ptr/shared_ptr.hpp:430:34: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  430 |     shared_ptr & operator=( std::auto_ptr<Y> && r )
      |                                  ^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/smart_ptr/shared_ptr.hpp:432:38: warning: 'template<class> class std::auto_ptr' is deprecated: use 'std::unique_ptr' instead [-Wdeprecated-declarations]
  432 |         this_type( static_cast< std::auto_ptr<Y> && >( r ) ).swap( *this );
      |                                      ^~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/SparseCore:37,
                 from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Sparse:26,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/Eigen.hpp:23:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 0, int> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 0, int> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7:   required from 'class Eigen::SparseMatrix<double, 0, int>'
   96 | class SparseMatrix
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25:   required from here
   61 |   typedef Triplet<double> T;
      |                         ^
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, -1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, -1, -1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:19:52:   required from 'struct Eigen::internal::traits<Eigen::LDLT<Eigen::Matrix<double, -1, -1> > >'
   19 |   template<typename _MatrixType, int _UpLo> struct traits<LDLT<_MatrixType, _UpLo> >
      |                                                    ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   required from 'struct Eigen::EigenBase<Eigen::LDLT<Eigen::Matrix<double, -1, -1> > >'
   42 |   typedef typename internal::traits<Derived>::StorageKind StorageKind;
      |                                                           ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolverBase.h:68:7:   required from 'class Eigen::SolverBase<Eigen::LDLT<Eigen::Matrix<double, -1, -1> > >'
   68 | class SolverBase : public EigenBase<Derived>
      |       ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:59:49:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1> >'
   59 | template<typename _MatrixType, int _UpLo> class LDLT
      |                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   required from here
   46 |   if (cholesky.info() != Eigen::Success || !cholesky.isPositive()
      |               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:69:42:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1> >'
   69 |       MaxRowsAtCompileTime = MatrixType::MaxRowsAtCompileTime,
      |                                          ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   required from here
   46 |   if (cholesky.info() != Eigen::Success || !cholesky.isPositive()
      |               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, -1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:287:19:   required from 'class Eigen::LDLT<Eigen::Matrix<double, -1, -1> >'
  287 |     TmpMatrixType m_temporary;
      |                   ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:46:15:   required from here
   46 |   if (cholesky.info() != Eigen::Success || !cholesky.isPositive()
      |               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:29:   required from here
   47 |       || (cholesky.vectorD().array() <= 0.0).any()) {
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:41:   required from here
   47 |       || (cholesky.vectorD().array() <= 0.0).any()) {
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_pos_definite.hpp:47:45:   required from here
   47 |       || (cholesky.vectorD().array() <= 0.0).any()) {
      |                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:26:   required from here
   35 |     LLt(m, m) = Lt.col(m).head(k).squaredNorm();
      |                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/multiply_lower_tri_self_transpose.hpp:35:34:   required from here
   35 |     LLt(m, m) = Lt.col(m).head(k).squaredNorm();
      |                                  ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/linspaced_array.hpp:37:49:   required from here
   37 |   Eigen::VectorXd v = Eigen::VectorXd::LinSpaced(K, low, high);
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, -1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:28:   required from here
   32 |   return Eigen::RowVectorXd::LinSpaced(K, low, high);
      |                            ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Matrix<double, 1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/linspaced_row_vector.hpp:32:39:   required from here
   32 |   return Eigen::RowVectorXd::LinSpaced(K, low, high);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:53:   required from here
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                                                     ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::linspaced_op<double>, Eigen::Array<double, -1, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:72:   required from here
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                                                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/lmgamma.hpp:58:77:   required from here
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                                                                             ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:17:   required from here
   71 |     A.diagonal().array() -= mu;
      |                 ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:71:29:   required from here
   71 |     A.diagonal().array() -= mu;
      |                             ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43:   required from here
   86 |         bi = (t / (s * (j + 1))) * (A * bi);
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0> > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43:   required from here
   86 |         bi = (t / (s * (j + 1))) * (A * bi);
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:86:43:   required from here
   86 |         bi = (t / (s * (j + 1))) * (A * bi);
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:22:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:38:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:178:58:   required from here
  178 |       alpha = Eigen::VectorXd::Constant(_p_max - 1, normA);
      |                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:44:   required from 'stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> [with auto:244 = Eigen::Matrix<double, -1, -1>]'
   57 |       x, [](const auto& v) { return v.array().ceil(); });
      |                                     ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   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::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>; 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>]'
   47 |                        f(x));
      |                        ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46:   required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]'
   56 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   57 |       x, [](const auto& v) { return v.array().ceil(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41:   required from here
  197 |     Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
      |                         ~~~~~~~~~~~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/ceil.hpp:57:51:   required from 'stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> [with auto:244 = Eigen::Matrix<double, -1, -1>]'
   57 |       x, [](const auto& v) { return v.array().ceil(); });
      |                                     ~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   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::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>; 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>]'
   47 |                        f(x));
      |                        ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46:   required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]'
   56 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   57 |       x, [](const auto& v) { return v.array().ceil(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41:   required from here
  197 |     Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
      |                         ~~~~~~~~~~~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59:   required from 'stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> >(const Eigen::Matrix<double, -1, -1>&, const stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1> > >]'
   46 |     return make_holder([](const auto& a) { return a.matrix().derived(); },
      |                                                   ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Matrix<double, -1, -1>, void>::apply<stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)> >(const Eigen::Matrix<double, -1, -1>&, const stan::math::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_ceil_op<double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, -1, 0, -1, -1> > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23:   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::ceil<Eigen::Matrix<double, -1, -1> >(const Eigen::Matrix<double, -1, -1>&)::<lambda(const auto:244&)>; 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>]'
   46 |     return make_holder([](const auto& a) { return a.matrix().derived(); },
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   47 |                        f(x));
      |                        ~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/ceil.hpp:56:46:   required from 'auto stan::math::ceil(const Container&) [with Container = Eigen::Matrix<double, -1, -1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0; stan::require_not_var_matrix_t<Container>* <anonymous> = 0]'
   56 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   57 |       x, [](const auto& v) { return v.array().ceil(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:197:41:   required from here
  197 |     Eigen::MatrixXd c = stan::math::ceil(mt) * u.asDiagonal();
      |                         ~~~~~~~~~~~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7:   required from 'class Eigen::PartialReduxExpr<Eigen::Matrix<double, -1, -1>, Eigen::internal::member_minCoeff<double, double>, 0>'
   56 | class PartialReduxExpr : public internal::dense_xpr_base< PartialReduxExpr<MatrixType, MemberOp, Direction> >::type,
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:203:38:   required from here
  203 |     int cost = c.colwise().minCoeff().minCoeff(&m);
      |                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/one_hot_row_vector.hpp:25:52:   required from here
   25 |   Eigen::RowVectorXd ret = Eigen::RowVectorXd::Zero(K);
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:13:64:   required from here
   13 |       : m_(Eigen::VectorXd::Zero(n)), m2_(Eigen::MatrixXd::Zero(n, n)) {
      |                                           ~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:26:31:   required from here
   26 |     Eigen::VectorXd delta(q - m_);
      |                               ^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   required from here
   27 |     m_ += delta / num_samples_;
      |                   ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:27:19:   required from here
   27 |     m_ += delta / num_samples_;
      |                   ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:38:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                       ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:37:40:   required from here
   37 |       covar = m2_ / (num_samples_ - 1.0);
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_var_estimator.hpp:28:30:   required from here
   28 |     m2_ += delta.cwiseProduct(q - m_);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/coupled_ode_system.hpp:77:63:   required from here
   77 |     Eigen::Map<Eigen::VectorXd>(dz_dt.data(), dz_dt.size()) = f_y_t;
      |                                                               ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim.hpp:15,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/dump.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:43:
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combination(std::vector<int>&, const int&, const int&, const int&)':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:73:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare]
   73 |   for (std::size_t i = 0; i < p - 1; i++) {
      |                           ~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:79:16: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare]
   79 |     } while (k < x);
      |              ~~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::combos(const int&, const double&, const int&, std::vector<std::vector<double> >&)':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:102:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare]
  102 |   for (std::size_t i = 1; i != choose_dimk + 1; i++) {
      |                           ~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:105:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare]
  105 |     for (std::size_t j = 0; j != k; j++) {
      |                             ~~^~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::increment(std::vector<bool>&, const int&, const double&, const std::vector<int>&, std::vector<double>&)':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:126:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'const int' [-Wsign-compare]
  126 |     for (std::size_t j = 0; j != k; j++) {
      |                             ~~^~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:132:22: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  132 |   while ((first_zero < index.size()) && index[first_zero]) {
      |           ~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:135:18: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<bool>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  135 |   if (first_zero == index.size()) {
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:143:31: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare]
  143 |     for (std::size_t i = 0; i != first_zero + 1; i++) {
      |                             ~~^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp: In function 'void stan::math::internal::signcombos(const int&, const double&, const int&, std::vector<std::vector<double> >&)':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/hcubature.hpp:168:29: warning: comparison of integer expressions of different signedness: 'std::size_t' {aka 'long long unsigned int'} and 'int' [-Wsign-compare]
  168 |   for (std::size_t i = 1; i != choose_dimk + 1; i++) {
      |                           ~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/ode_store_sensitivities.hpp:40:64:   required from here
   40 |                                            coupled_state.size());
      |                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/mpl/aux_/na_assert.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/mpl/arg.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/mpl/placeholders.hpp:24,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/mpl/apply.hpp:24,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/serialization/array_optimization.hpp:18,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/serialization/array_wrapper.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/serialization/array.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/ublas/storage.hpp:22,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/ublas/vector.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/odeint.hpp:25,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/ode_rk45.hpp:9,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/integrate_ode_rk45.hpp:6,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor.hpp:16:
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/mpl/assert.hpp: At global scope:
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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/4.6/BH/include/boost/fusion/functional/invocation/detail/that_ptr.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/fusion/functional/invocation/invoke.hpp:52,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/fusion/functional/adapter/fused.hpp:17,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/fusion/functional/generation/make_fused.hpp:13,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/fusion/include/make_fused.hpp:11,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/odeint/util/resize.hpp:30,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/odeint/util/state_wrapper.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/odeint/util/ublas_wrapper.hpp:33:
D:/RCompile/CRANpkg/lib/4.6/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:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/unique_ptr.h:59:28: note: declared here
   59 |   template<typename> class auto_ptr;
      |                            ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:39:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]'
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13:   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:304&)>; T = Eigen::Matrix<double, -1, 1>]'
   93 |     return f(x);
      |            ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   83 |   return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28:   required from 'struct Eigen::internal::traits<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> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]'
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                           ~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13:   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:304&)>; T = Eigen::Matrix<double, -1, 1>]'
   93 |     return f(x);
      |            ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   83 |   return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:42:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]'
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                           ~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13:   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:304&)>; T = Eigen::Matrix<double, -1, 1>]'
   93 |     return f(x);
      |            ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   83 |   return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:52:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]'
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13:   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:304&)>; T = Eigen::Matrix<double, -1, 1>]'
   93 |     return f(x);
      |            ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   83 |   return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:38:59:   required from here
   38 |   Eigen::VectorXd stddev = S_ldlt.vectorD().array().sqrt().matrix();
      |                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 5>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:75:   required from here
   46 |       = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z));
      |                                                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:46:76:   required from here
   46 |       = mu + (S_ldlt.transpositionsP().transpose() * (S_ldlt.matrixL() * z));
      |                                                                            ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gaussian_dlm_obs_rng.hpp:135:41:   required from here
  135 |         Eigen::VectorXd(F.transpose() * theta_t), V_ldlt, rng);
      |                                         ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::Matrix<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/hmm_hidden_state_prob.hpp:77:52:   required from here
   77 |     alphas.col(n) = alphas.col(n).cwiseProduct(beta);
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/hmm_latent_rng.hpp:71:73:   required from here
   71 |   probs_vec = alphas.col(n_transitions) / alphas.col(n_transitions).sum();
      |                                                                         ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<Eigen::Matrix<double, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68:   required from here
   49 |   return L_S.template triangularView<Eigen::Lower>() * B.transpose();
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Matrix<double, -1, -1>, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_cholesky_rng.hpp:49:68:   required from here
   49 |   return L_S.template triangularView<Eigen::Lower>() * B.transpose();
      |                                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:42:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |                     ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::LDLT<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:25:32:   required from here
   25 |   S_inv = ldlt_of_S.solve(S_inv);
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   required from here
   27 |   return 0.5 * (asym.transpose() + asym);  // ensure symmetry
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   required from here
   27 |   return 0.5 * (asym.transpose() + asym);  // ensure symmetry
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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/4.6/RcppEigen/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, -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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/inv_wishart_rng.hpp:27:40:   required from here
   27 |   return 0.5 * (asym.transpose() + asym);  // ensure symmetry
      |                                        ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:47:   required from here
   89 |       = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix();
      |                                               ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:89:54:   required from here
   89 |       = Sigma_ldlt.vectorD().array().inverse().sqrt().matrix();
      |                                                      ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:109:64:   required from here
  109 |                                 (Sigma_ldlt.matrixU().solve(X)).transpose()))
      |                                                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  108 |                          * (D_ldlt.matrixU().solve(
      |                             ~~~~~~~~~~~~~~~~~~~~~~^
  109 |                                 (Sigma_ldlt.matrixU().solve(X)).transpose()))
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:108:51:   required from here
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:48:   required from 'struct Eigen::internal::accessors_level<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> > > > >'
   32 |   enum { has_direct_access = (traits<Derived>::Flags & DirectAccessBit) ? 1 : 0,
      |                                                ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   required from here
  110 |                                .transpose()
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:32:   required from here
  110 |                                .transpose()
      |                                ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:110:43:   required from here
  110 |                                .transpose()
      |                                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:51:   required from here
  111 |                          * D_ldlt.transpositionsP());
      |                                                   ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/matrix_normal_prec_rng.hpp:111:52:   required from here
  111 |                          * D_ldlt.transpositionsP());
      |                                                    ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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(auto:3&&)>, 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/4.6/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(auto:3&&)>, 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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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(auto:3&&)>, 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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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(auto:3&&)>, 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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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(auto:3&&)>, 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> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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> > >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   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>'
   72 |       apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
  120 |   return apply_scalar_unary<lgamma_fun, T>::apply(x);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/multinomial_logit_lpmf.hpp:39:44:   required from here
   39 |     lp += lgamma(1 + ns_map.sum()) - lgamma(1 + ns_map).sum();
      |                                      ~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/std_normal_ccdf_log.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob.hpp:328,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim.hpp:16:
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/std_normal_lccdf.hpp: In function 'stan::return_type_t<T> stan::math::std_normal_lccdf(const T_y&)':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/std_normal_lccdf.hpp:52: note: '-Wmisleading-indentation' is disabled from this point onwards, since column-tracking was disabled due to the size of the code/headers
   52 |     } else if (y_dbl > 8.25) {
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/std_normal_lccdf.hpp:52: note: adding '-flarge-source-files' will allow for more column-tracking support, at the expense of compilation time and memory
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/dump.hpp: In member function 'virtual std::vector<std::complex<double> > stan::io::dump::vals_c(const std::string&) const':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/dump.hpp:694: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  694 |       for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/dump.hpp:707: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  707 |              real_iter < val_i->second.first.size();
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Matrix<double, -1, -1>, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:102:0:   required from here
  102 |       if (C_adj.size() > 0) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:111:0:   required from here
  111 |           = D_adj.adjoint().template triangularView<StrictlyUpper>();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:116:0:   required from here
  116 |       D_adj.diagonal() *= 0.5;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:59:34:   required from 'class Eigen::RefBase<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> > >'
   59 | template<typename Derived> class RefBase
      |                                  ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Ref.h:281:76:   required from 'class Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >'
  281 | template<typename PlainObjectType, int Options, typename StrideType> class Ref
      |                                                                            ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:76:42:   required from 'class Eigen::LLT<Eigen::Ref<Eigen::Matrix<double, -1, -1>, 0, Eigen::OuterStride<> >, 1>'
   76 |       MaxColsAtCompileTime = MatrixType::MaxColsAtCompileTime
      |                                          ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:142:0:   required from here
  142 |   check_pos_definite("cholesky_decompose", "m", L_factor);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1>, void>'
   13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cholesky_decompose.hpp:144:0:   required from here
  144 |   L_A.template triangularView<Eigen::StrictlyUpper>().setZero();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cholesky_factor_constrain.hpp:42:0:   required from here
   42 |     y_val.row(m).head(m) = x.val().segment(pos, m);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0:   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]'
   28 |                           * arena_L_val.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:28:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
   28 |                           * arena_L_val.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:32:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0:   required from here
   94 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0:   required from here
   94 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0:   required from here
   94 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0:   required from here
   94 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::ArrayWrapper<const Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/gp_exp_quad_cov.hpp:94:0:   required from here
   94 |           adjsigma += (cov_diag.val().array() * cov_diag.adj().array()).sum();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::SparseMatrix<double, 1> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::SparseMatrix<double, 1> >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, Eigen::SparseMatrix<double, 1> >::f(const Eigen::EigenBase<Derived>*) [with OtherDerived = <missing>]'
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   required from 'struct stan::is_base_pointer_convertible<Eigen::EigenBase, Eigen::SparseMatrix<double, 1> >'
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   required from 'struct stan::is_eigen<Eigen::SparseMatrix<double, 1> >'
   21 |     : bool_constant<is_base_pointer_convertible<Eigen::EigenBase, T>::value> {};
      |                                                                       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:301:0:   required by substitution of 'template<class T> class 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type> [with T = Eigen::SparseMatrix<double, 1>]'
  301 |     (is_eigen<T>::value || is_kernel_expression_and_not_scalar<T>::value)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0:   required from here
  120 |     arena_t<return_t> res = w_mat_arena.val() * value_of(b_arena);
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of 'class Eigen::SparseMatrixBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7:   required from 'class Eigen::SparseCompressedBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> > >'
   36 | class SparseCompressedBase
      |       ^~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:50:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   50 | class SparseMapBase<Derived,ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:148:7:   required from 'class Eigen::SparseMapBase<Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  148 | class SparseMapBase<Derived,WriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/SparseCore/SparseMap.h:222:7:   required from 'class Eigen::Map<Eigen::SparseMatrix<double, 1>, 0, Eigen::Stride<0, 0> >'
  222 | class Map<SparseMatrix<MatScalar,MatOptions,MatIndex>, Options, StrideType>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:129:0:   required from 'class stan::math::arena_matrix<Eigen::SparseMatrix<double, 1>, void>'
  129 | class arena_matrix<MatrixType, require_eigen_sparse_base_t<MatrixType>>
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:814:0:   required from 'class stan::math::vari_value<Eigen::SparseMatrix<double, 1>, void>'
  814 |   using InnerIterator = typename arena_matrix<PlainObject>::InnerIterator;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:419:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::val() const [with T = Eigen::SparseMatrix<double, 1>; typename std::enable_if<std::integral_constant<bool, ((stan::is_eigen<T>::value || stan::is_kernel_expression_and_not_scalar<T>::value) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  419 |   inline const auto& val() const noexcept { return vi_->val(); }
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/csr_matrix_times_vector.hpp:120:0:   required from here
  120 |     arena_t<return_t> res = w_mat_arena.val() * value_of(b_arena);
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:97:21:   required from 'class Eigen::Tridiagonalization<Eigen::Matrix<double, -1, -1> >'
   97 |             >::type SubDiagonalReturnType;
      |                     ^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:111:62:   required from 'class Eigen::SelfAdjointEigenSolver<Eigen::Matrix<double, -1, -1> >'
  111 |     typedef typename TridiagonalizationType::SubDiagonalType SubDiagonalType;
      |                                                              ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/eigendecompose_sym.hpp:40:0:   required from here
   40 |   arena_t<eigval_return_t> eigenvals = solver.eigenvalues();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   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>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/grad.hpp:27:0:   required from here
   27 |   g = x.adj();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44:   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:169&)> [with auto:169 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   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:169&)>; 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>]'
   47 |                        f(x));
      |                        ~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   65 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |       x, [](const auto& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0:   required from here
   49 |   var log_det = sum(log(M_ldlt.vectorD()));
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   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:169&)> [with auto:169 = Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   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:169&)>; 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>]'
   47 |                        f(x));
      |                        ~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   65 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |       x, [](const auto& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0:   required from here
   49 |   var log_det = sum(log(M_ldlt.vectorD()));
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59:   required from 'stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<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:169&)> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&, const 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:169&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0> > >]'
   46 |     return make_holder([](const auto& a) { return a.matrix().derived(); },
      |                                                   ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>, void>::apply<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:169&)> >(const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1>, 0>&, const 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:169&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Diagonal<const Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0> > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23:   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:169&)>; 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>]'
   46 |     return make_holder([](const auto& a) { return a.matrix().derived(); },
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   47 |                        f(x));
      |                        ~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   65 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |       x, [](const auto& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:49:0:   required from here
   49 |   var log_det = sum(log(M_ldlt.vectorD()));
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, -1, -1, 1, -1, -1>, void>'
   13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/log_determinant_spd.hpp:51:0:   required from here
   51 |   reverse_pass_callback([arena_M, log_det, arena_M_inv_transpose]() mutable {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, 1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:73:0:   required from here
   73 |   vector_d diff = (x_d.array() - x_d.maxCoeff());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/log_softmax.hpp:81:0:   required from here
   81 |   Eigen::Map<vector_d>(softmax_x_d_array, a_size) = softmax_x_d.array() / sum;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:50:0:   required from here
   50 |   arena_powers[0] = Eigen::MatrixXd::Identity(N, N);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:53:0:   required from here
   53 |     arena_powers[i] = arena_powers[1] * arena_powers[i - 1];
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:63:0:   required from here
   63 |       adj_M += adj_C * arena_powers[i - 1].transpose();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0:   required from here
   64 |       adj_C = M_val.transpose() * adj_C;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/matrix_power.hpp:64:0:   required from here
   64 |       adj_C = M_val.transpose() * adj_C;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   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>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/mdivide_left_spd.hpp:67:0:   required from here
   67 |     Eigen::Map<matrix_vi>(variRefB_, M_, N_).adj() += adjB;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0:   required from here
   85 |     adjA = -adjB * Map<matrix_d>(C_, M_, N_).transpose();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/mdivide_left_tri.hpp:85:0:   required from here
   85 |     adjA = -adjB * Map<matrix_d>(C_, M_, N_).transpose();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/quad_form.hpp:25:0:   required from here
   25 |       matrix_d M = 0.5 * (Cd + Cd.transpose());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:55:0:   required from here
   55 |   L.col(0).tail(pull) = CPCs.val().head(pull);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0:   required from 'class stan::math::arena_matrix<Eigen::Array<double, -1, 1>, void>'
   13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:56:0:   required from here
   56 |   arena_acc.tail(pull) = 1.0 - CPCs.val().head(pull).array().square();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:63:0:   required from here
   63 |     L.col(i).tail(pull) = cpc_seg * arena_acc.tail(pull).sqrt();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::Array<double, -1, 1>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Array<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Array<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0:   required from here
   86 |           -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:86:0:   required from here
   86 |           -= 2.0 * acc_adj.tail(pull) * acc_val.tail(pull) * cpc_seg_val;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Block<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_corr_L.hpp:90:0:   required from here
   90 |           += L_res.adj().array().col(i).tail(pull) * acc_val.tail(pull).sqrt();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/read_cov_matrix.hpp:56:0:   required from here
   56 |     sds.adj() += (prod.adj().cwiseProduct(corr_L.val())).rowwise().sum();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/rows_dot_self.hpp:41:0:   required from here
   41 |       x.adj() += (2 * res.adj()).asDiagonal() * x.val();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/svd.hpp:56:0:   required from here
   56 |   arena_Fp.diagonal().setZero();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0:   required from here
   69 |               * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array())
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/svd.hpp:69:0:   required from here
   69 |               * (arena_Fp.array() * (UUadjT - UUadjT.transpose()).array())
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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/4.6/RcppEigen/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>, 0, Eigen::Stride<0, 0> > >, 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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/svd.hpp:70:0:   required from here
   70 |                     .matrix()
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0:   required from here
   61 |                      .matrix()
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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> > > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:61:0:   required from here
   61 |                      .matrix()
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:278:47:   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> > > > >'
  278 |   typedef typename DiagonalVectorType::Scalar Scalar;
      |                                               ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:42:59:   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> > > > >'
   42 |   typedef typename internal::traits<Derived>::StorageKind StorageKind;
      |                                                           ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   18 | class DiagonalBase : public EigenBase<Derived>
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DiagonalMatrix.h:293:7:   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> > > >'
  293 | class DiagonalWrapper
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/svd_V.hpp:63:0:   required from here
   63 |            + arena_U * arena_D.asDiagonal().inverse()
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   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>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0:   required from here
   79 |     vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0:   required from here
   79 |     vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:79:0:   required from here
   79 |     vector_d di = 2 * adj_ * (v1_map.val() - v2_map.val());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   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>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:80:0:   required from here
   80 |     v1_map.adj() += di;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0:   required from here
  111 |         += 2 * adj_ * (v1_map.val() - Eigen::Map<vector_d>(v2_, length_));
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/squared_distance.hpp:111:0:   required from here
  111 |         += 2 * adj_ * (v1_map.val() - Eigen::Map<vector_d>(v2_, length_));
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   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>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   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>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/variance.hpp:23:0:   required from here
   23 |   vector_d dtrs_vals = dtrs_map.val();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0:   required from here
   25 |   vector_d diff = dtrs_vals.array() - dtrs_vals.mean();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0:   required from here
   27 |   Eigen::Map<vector_d>(partials, size) = 2 * diff.array() / size_m1;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/variance.hpp:27:0:   required from here
   27 |   Eigen::Map<vector_d>(partials, size) = 2 * diff.array() / size_m1;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::MatrixBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >::val_Op, Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/jacobian.hpp:26:0:   required from here
   26 |   fx = fx_var.val();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27:   required from 'stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)> [with auto:11 = const Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
   75 |         return a.unaryExpr([](const auto& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_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:11&)>; Args = {const Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>&}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/value_of.hpp:73:21:   required from 'auto stan::math::value_of(EigMat&&) [with EigMat = const Eigen::Matrix<var_value<double>, -1, 1>&; stan::require_eigen_dense_base_t<EigMat>* <anonymous> = 0; stan::require_not_st_arithmetic<T>* <anonymous> = 0]'
   73 |   return make_holder(
      |          ~~~~~~~~~~~^
   74 |       [](auto& a) {
      |       ~~~~~~~~~~~~~  
   75 |         return a.unaryExpr([](const auto& scal) { return value_of(scal); });
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   76 |       },
      |       ~~             
   77 |       std::forward<EigMat>(M));
      |       ~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/algebra_solver_fp.hpp:101:0:   required from here
  101 |         y_dummy(stan::math::value_of(y)),
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   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>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0:   required from here
  369 |     Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:86:7:   required from 'class Eigen::SolveImpl<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1>, Eigen::Dense>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Solve.h:62:7:   required from 'class Eigen::Solve<Eigen::PartialPivLU<Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Matrix<double, -1, -1> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/solve_powell.hpp:369:0:   required from here
  369 |     Eigen::VectorXd eta = -Jf_x_T_lu_ptr->solve(ret.adj().eval());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/cvodes_integrator_adjoint.hpp:604:0:   required from here
  604 |     f_y_t_vars.adj() = -Eigen::Map<Eigen::VectorXd>(NV_DATA_S(yB), N_);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, 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/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/finite_diff_hessian_times_vector_auto.hpp:62:0:   required from here
   62 |   hvp = (grad_forward - grad_backward) / (2 * epsilon);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/initialize.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/diagnose/diagnose.hpp:10,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:49:
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/random_var_context.hpp: In member function 'virtual std::vector<std::complex<double> > stan::io::random_var_context::vals_c(const std::string&) const':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/random_var_context.hpp:111: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  111 |       for (comp_iter = 0, real_iter = 0; real_iter < val_r.size();
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:0:   required from here
  182 |     return normal_fullrank(Eigen::VectorXd(mu_.array().square()),
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:0:   required from here
  183 |                            Eigen::MatrixXd(L_chol_.array().square()));
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:0:   required from here
  197 |     return normal_fullrank(Eigen::VectorXd(mu_.array().sqrt()),
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:0:   required from here
  198 |                            Eigen::MatrixXd(L_chol_.array().sqrt()));
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Matrix<double, -1, -1> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:0:   required from here
  263 |     L_chol_.array() /= rhs.L_chol().array();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0:   required from here
  351 |     return (L_chol_ * eta) + mu_;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:0:   required from here
  351 |     return (L_chol_ * eta) + mu_;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:0:   required from here
  459 |     L_grad.diagonal().array() += L_chol_.diagonal().array().inverse();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0:   required from here
  314 |     return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0:   required from here
  314 |     return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:0:   required from here
  314 |     return eta.array().cwiseProduct(omega_.array().exp()) + mu_.array();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:0:   required from here
  370 |         omega_grad.array() += tmp_mu_grad.array().cwiseProduct(eta.array());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:0:   required from here
  388 |     omega_grad.array() = omega_grad.array().cwiseProduct(omega_.array().exp());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:175:0:   required from here
  175 |       rho = rho_bck + rho_fwd;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   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>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   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> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   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>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from here
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   86 | class SolveImpl<Decomposition,RhsType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   62 | class Solve : public SolveImpl<Decomposition,RhsType,typename internal::traits<RhsType>::StorageKind>
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:53:0:   required from here
   53 |     z.p = z.inv_e_metric_.llt().matrixU().solve(u);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/to_matrix.hpp:133:17:   required from 'auto stan::math::to_matrix(const std::vector<T>&, int, int) [with T = double]'
  133 |   return Eigen::Map<const Eigen::Matrix<T, Eigen::Dynamic, Eigen::Dynamic>>(
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  134 |       &x[0], m, n);
      |       ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:0:   required from here
   33 |     inv_metric = stan::math::to_matrix(dense_vals, num_params, num_params);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:27:0:   required from here
   27 |       covar = (n / (n + 5.0)) * covar
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0:   required from here
   29 |                     * Eigen::MatrixXd::Identity(covar.rows(), covar.cols());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:0:   required from here
   29 |                     * Eigen::MatrixXd::Identity(covar.rows(), covar.cols());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0:   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>]'
   21 |     return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0:   required from here
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:0:   required from here
   27 |       var = (n / (n + 5.0)) * var
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0:   required from here
   28 |             + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:0:   required from here
   28 |             + 1e-3 * (5.0 / (n + 5.0)) * Eigen::VectorXd::Ones(var.size());
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:7,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:68:
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp: In member function 'virtual std::vector<std::complex<double> > stan::io::array_var_context::vals_c(const std::string&) const':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:304: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<double>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  304 |       for (comp_iter = 0, real_iter = 0; real_iter < val_r->second.first.size();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:317: warning: comparison of integer expressions of different signedness: 'int' and 'std::vector<int>::size_type' {aka 'long long unsigned int'} [-Wsign-compare]
  317 |              real_iter < val_i->second.first.size();
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0:   required from here
   72 |     Eigen::Map<Eigen::VectorXd>(&row[0], draws.cols()) = draws.row(i);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, 1>'
  223 | template<typename Derived> class MapBase<Derived, WriteAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:13:0:   required from 'class stan::math::arena_matrix<Eigen::Matrix<double, 1, -1>, void>'
   13 | class arena_matrix<MatrixType, require_eigen_dense_base_t<MatrixType>>
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/indexing/rvalue_varmat.hpp:145:0:   required from here
  145 |     x_ret_vals.coeffRef(j) = x.val().coeff(row_idx_val, col_idx_vals[j]);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:44:   required from 'stan::math::log<std::vector<double> >(const std::vector<double>&)::<lambda(const auto:169&)> [with auto:169 = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:123:45:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<std::integral_constant<bool, stan::math::conjunction<stan::is_std_vector<typename std::decay<_Tp>::type, void>, stan::is_stan_scalar<typename stan::value_type<T, void>::type> >::value>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<std::vector<double> >(const std::vector<double>&)::<lambda(const auto:169&)>; T = std::vector<double>]'
  123 |     using T_return = value_type_t<decltype(f(as_column_vector_or_scalar(x)))>;
      |                                            ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = std::vector<double>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   65 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |       x, [](const auto& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:361:0:   required from here
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<std::vector<double> >(const std::vector<double>&)::<lambda(const auto:169&)> [with auto:169 = Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:123:45:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<std::integral_constant<bool, stan::math::conjunction<stan::is_std_vector<typename std::decay<_Tp>::type, void>, stan::is_stan_scalar<typename stan::value_type<T, void>::type> >::value>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<std::vector<double> >(const std::vector<double>&)::<lambda(const auto:169&)>; T = std::vector<double>]'
  123 |     using T_return = value_type_t<decltype(f(as_column_vector_or_scalar(x)))>;
      |                                            ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = std::vector<double>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   65 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |       x, [](const auto& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:361:0:   required from here
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:126:50:   required from 'static auto stan::math::apply_vector_unary<T, typename std::enable_if<std::integral_constant<bool, stan::math::conjunction<stan::is_std_vector<typename std::decay<_Tp>::type, void>, stan::is_stan_scalar<typename stan::value_type<T, void>::type> >::value>::value, void>::type>::apply(const T&, const F&) [with F = stan::math::log<std::vector<double> >(const std::vector<double>&)::<lambda(const auto:169&)>; T = std::vector<double>]'
  126 |         = f(as_column_vector_or_scalar(x)).matrix();
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = std::vector<double>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   65 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |       x, [](const auto& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:361:0:   required from here
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |                    ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 3>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 3, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:17:8:   required from 'struct Eigen::internal::traits<Eigen::Array<double, 3, 1> >'
   17 | struct traits<Array<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> > : traits<Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 3, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   28 |   ArrayAT a_array = as_array_or_scalar(a);
      |           ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, 3, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, 3, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, 3, 1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, 3, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, 3, 1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:11:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   28 |   ArrayAT a_array = as_array_or_scalar(a);
      |           ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_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<double>&>(const std::vector<double>&)::<lambda(auto:14&)>; Args = {const std::vector<double, std::allocator<double> >&}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:72:21:   required from 'auto stan::math::as_array_or_scalar(T&&) [with T = const std::vector<double>&; stan::require_std_vector_t<T>* <anonymous> = 0; stan::require_not_std_vector_t<typename stan::value_type<T>::type>* <anonymous> = 0]'
   72 |   return make_holder([](auto& x) { return T_map(x.data(), x.size()); },
      |          ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |                      std::forward<T>(v));
      |                      ~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:28:39:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   28 |   ArrayAT a_array = as_array_or_scalar(a);
      |                     ~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 3, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 3, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7:   required from 'class Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > > >'
   38 |                    >::type Scalar;
      |                            ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:43:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   47 |     const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk));
      |                                      ~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >'
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:55:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   47 |     const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk));
      |                                      ~~~~~~~~~~~~~~~~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/fabs.hpp:67:50:   required from 'stan::math::fabs<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >(const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >&)::<lambda(const auto:9&)> [with auto:9 = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >]'
   67 |       x, [](const auto& v) { return v.array().abs(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76:   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::fabs<Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >(const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >&)::<lambda(const auto:9&)>; T2 = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >; stan::require_t<stan::is_eigen_array<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >]'
   53 |     return make_holder([](const auto& a) { return a.array().derived(); }, f(x));
      |                                                                           ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/fabs.hpp:66:46:   required from 'auto stan::math::fabs(const Container&) [with Container = Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   66 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   67 |       x, [](const auto& v) { return v.array().abs(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:47:37:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   47 |     const auto& abs_apk = math::fabs((apk == 0).select(1.0, apk));
      |                           ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76:   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::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > > >(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >&)::<lambda(const auto:169&)>; T2 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >; stan::require_t<stan::is_eigen_array<typename stan::plain_type<T2, void>::type> >* <anonymous> = 0; T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >]'
   53 |     return make_holder([](const auto& a) { return a.array().derived(); }, f(x));
      |                                                                           ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:65:46:   required from 'auto stan::math::log(const Container&) [with Container = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Select<Eigen::CwiseBinaryOp<Eigen::internal::scalar_cmp_op<double, double, Eigen::internal::cmp_EQ>, const Eigen::Array<double, 3, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> > >, Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, 3, 1> >, Eigen::Array<double, 3, 1> > >; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   65 |   return apply_vector_unary<Container>::apply(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   66 |       x, [](const auto& v) { return v.array().log(); });
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:49:25:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   49 |     T_return p = sum(log(abs_apk)) - sum(log(abs_bpk));
      |                      ~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 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/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; stan::return_type_t<T> = double]'
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0:   required from here
   16 |       : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 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/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; stan::return_type_t<T> = double]'
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                              ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0:   required from here
   16 |       : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, 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>, 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/4.6/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>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >&)::<lambda(auto:3&&)>, 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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >, void>'
   72 |       apply_scalar_unary<F, T>::apply(std::declval<T>()))>;
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, Eigen::Array<double, -1, 1> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >; stan::require_not_var_matrix_t<Container>* <anonymous> = 0; stan::require_not_nonscalar_prim_or_rev_kernel_expression_t<Container>* <anonymous> = 0]'
  120 |   return apply_scalar_unary<lgamma_fun, T>::apply(x);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; stan::return_type_t<T> = double]'
   58 |   return result + sum(lgamma(x + (1 - Eigen::ArrayXd::LinSpaced(k, 1, k)) / 2));
      |                       ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/lmgamma.hpp:16:0:   required from here
   16 |       : op_dv_vari(lmgamma(a, bvi->val_), a, bvi) {}
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0:   required from here
   28 |   double variance = diff.squaredNorm() / size_m1;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Array<double, -1, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Array<double, -1, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::Array<double, -1, -1> >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Array<double, -1, -1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Array.h:45:7:   required from 'class Eigen::Array<double, -1, -1>'
   45 | class Array
      |       ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0:   required from here
  280 |     L_chol_.array() += scalar;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   27 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::add_assign_op<Scalar,Scalar>());
      |                                              ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:0:   required from here
  280 |     L_chol_.array() += scalar;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:22:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]'
  156 |   return !((derived()-derived()).hasNaN());
      |            ~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:0:   required from here
   31 |       if (!covar.allFinite())
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:97:0:   required from here
   97 |     std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:74: 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]
   74 |     for (int i = 0; i < dims.size(); i++) {
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0:   required from here
  118 |     std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:74: 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]
   74 |     for (int i = 0; i < dims.size(); i++) {
stanExports_mcml.h: In instantiation of 'void model_mcml_namespace::model_mcml::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = std::vector<double>; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]':
stanExports_mcml.h:786:0:   required from here
  786 |     unconstrain_array_impl(params_constrained, params_i,
  787 |       params_unconstrained, pstream);
stanExports_mcml.h:622: warning: variable 'pos__' set but not used [-Wunused-but-set-variable]
  622 |       int pos__ = std::numeric_limits<int>::min();
stanExports_mcml.h: In instantiation of 'void model_mcml_namespace::model_mcml::unconstrain_array_impl(const VecVar&, const VecI&, VecVar&, std::ostream*) const [with VecVar = Eigen::Matrix<double, -1, 1>; VecI = std::vector<int>; stan::require_vector_t<T_y>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]':
stanExports_mcml.h:796:0:   required from here
  796 |     unconstrain_array_impl(params_constrained, params_i,
  797 |       params_unconstrained, pstream);
stanExports_mcml.h:622: warning: variable 'pos__' set but not used [-Wunused-but-set-variable]
  622 |       int pos__ = std::numeric_limits<int>::min();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp: In instantiation of 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]':
stanExports_mcml.cc:30:0:   required from here
   30 |     .method("standalone_gqs", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::standalone_gqs)
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1252: warning: variable 'ret' set but not used [-Wunused-but-set-variable]
 1252 |     int ret = stan::services::error_codes::CONFIG;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 2, 1> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31:   required from 'stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]'
  181 |   Eigen::Matrix<double, 2, 1> a_args(2);
      |                               ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  190 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 2, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 2, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 2, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 2, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 2, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:181:31:   required from 'stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]'
  181 |   Eigen::Matrix<double, 2, 1> a_args(2);
      |                               ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  190 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 1, 1, 0, 1, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 1, 1, 0, 1, 1>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:182:31:   required from 'stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]'
  182 |   Eigen::Matrix<double, 1, 1> b_args(1);
      |                               ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  190 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 3, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 3, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 3, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Array<double, 3, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:117:39:   required from 'TupleT stan::math::internal::grad_2F1_impl_ab(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double>]'
  117 |     inner_diff = g_current.array().abs().maxCoeff();
      |                  ~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:204:78:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  204 |       grad_tuple_ab = grad_2F1_impl_ab<calc_a1_euler, calc_a2_euler, calc_b1>(
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  205 |           a1_euler, a2_euler, b1, z_euler);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                    
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_cast_op<double, double>, const Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:513:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/plugins/CommonCwiseUnaryOps.h:62:1:   required by substitution of 'template<class NewType> typename Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::CastXpr<NewType>::Type Eigen::DenseBase<Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::cast() const [with NewType = double]'
   62 | cast() const
      | ^~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:38:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]'
  102 |   result << A.template cast<T_return>(), B;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   29 |   ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0);
      |                     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_not_nan.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_2F1_converges.hpp:5,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim.hpp:12:
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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>]'
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:47:0:   required from here
   47 |     stan::math::check_not_nan(function, "Mean vector", mu);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; std::enable_if_t<((bool)(((!(Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit)) && (! T::IsVectorAtCompileTime)) && (!(Eigen::internal::traits<_Rhs>::Flags & Eigen::RowMajorBit))))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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>]'
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:74:0:   required from here
   74 |     stan::math::check_not_nan(function, "Cholesky factor", L_chol);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:207:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  207 |   for (size_t i = 0; i < x.rows(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:208:26: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
  208 |     for (size_t j = 0; j < x.cols(); j++) {
      |                        ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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>]'
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_finite("check_finite", "inv_metric", inv_metric);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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>]'
   29 |   elementwise_check([](double x) { return x > 0; }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     "positive");
      |                     ~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:22:0:   required from here
   22 |     stan::math::check_positive("check_positive", "inv_metric", inv_metric);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, -1>, const Eigen::Matrix<double, -1, -1> >]'
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, -1>]'
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:31:0:   required from here
   31 |       if (!covar.allFinite())
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:142:28:   required from 'bool Eigen::DenseBase<Derived>::hasNaN() const [with Derived = Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >]'
  142 |   return !((derived().array()==derived().array()).all());
      |             ~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:156:40:   required from 'bool Eigen::DenseBase<Derived>::allFinite() const [with Derived = Eigen::Matrix<double, -1, 1>]'
  156 |   return !((derived()-derived()).hasNaN());
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:30:0:   required from here
   30 |       if (!var.allFinite())
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta.hpp:70,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/invalid_argument.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/core/init_threadpool_tbb.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/core.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim.hpp:10:
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp: In instantiation of 'void stan::math::check_less_or_equal(const char*, const char*, const T_y&, const T_high&, Idxs ...) [with T_y = long long unsigned int; T_high = long long int; stan::require_all_stan_scalar_t<U, V>* <anonymous> = 0; Idxs = {}]':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:79:0:   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]'
   79 |     stan::math::check_less_or_equal("validate_dims", "array_var_context",
   80 |                                     elem_dims_total[dims.size()], array_size);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/array_var_context.hpp:118:0:   required from here
  118 |     std::vector<size_t> dim_vec = validate_dims(names, values.size(), dims);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_less_or_equal.hpp:39:20: warning: comparison of integer expressions of different signedness: 'const long long unsigned int' and 'const long long int' [-Wsign-compare]
   39 |   if (unlikely(!(y <= high))) {
      |                 ~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/compiler_attributes.hpp:9:41: note: in definition of macro 'unlikely'
    9 | #define unlikely(x) __builtin_expect(!!(x), 0)
      |                                         ^
D:/RCompile/CRANpkg/lib/4.6/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_mcml_namespace::model_mcml; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]':
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1253:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1253 |     ret = stan::services::standalone_generate(model_, draws,
 1254 |             Rcpp::as<unsigned int>(seed), interrupt, logger, *sample_writer_ptr);
stanExports_mcml.cc:30:0:   required from here
   30 |     .method("standalone_gqs", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::standalone_gqs)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:55: 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]
   55 |   if (p_names.size() != draws.cols()) {
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:71: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::Index' {aka 'long long int'} [-Wsign-compare]
   71 |   for (size_t i = 0; i < draws.rows(); ++i) {
In file included from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/assert.hpp:35,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept_check.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:19,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/size_type.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/size.hpp:21,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/functions.hpp:20,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range.hpp:18,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/numeric/odeint/util/resize.hpp:24:
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/algorithm/string/iter_find.hpp:81:0:   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> >]'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/algorithm/string/iter_find.hpp:26,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:16,
                 from D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string.hpp:23,
                 from D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:4,
                 from D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:46:
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/concept.hpp:40: 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/4.6/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::first_finderF<const char*, boost::algorithm::is_equal>, __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/find_format.hpp:98:0:   required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string<char>; FinderT = detail::first_finderF<const char*, is_equal>; FormatterT = detail::const_formatF<boost::iterator_range<const char*> >]'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/replace.hpp:179:0:   required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string<char>; Range1T = char [11]; Range2T = char [1]]'
  179 |             ::boost::algorithm::find_format(
  180 |                 Input,
  181 |                 ::boost::algorithm::first_finder(Search),
  182 |                 ::boost::algorithm::const_formatter(Format) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:0:   required from here
  133 |         boost::replace_first(value, " (Default)", "");
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/concept.hpp:40: note: in a call to non-static member function 'void boost::algorithm::FinderConcept<FinderT, IteratorT>::constraints() [with FinderT = boost::algorithm::detail::first_finderF<const char*, boost::algorithm::is_equal>; IteratorT = __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> >]'
   40 |             void constraints()
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp: In instantiation of 'static void boost::concepts::constraint<Model>::failed() [with Model = boost::algorithm::FormatterConcept<boost::algorithm::detail::const_formatF<boost::iterator_range<const char*> >, boost::algorithm::detail::first_finderF<const char*, boost::algorithm::is_equal>, __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> > >]':
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/find_format.hpp:103:0:   required from 'void boost::algorithm::find_format(SequenceT&, FinderT, FormatterT) [with SequenceT = std::__cxx11::basic_string<char>; FinderT = detail::first_finderF<const char*, is_equal>; FormatterT = detail::const_formatF<boost::iterator_range<const char*> >]'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/replace.hpp:179:0:   required from 'void boost::algorithm::replace_first(SequenceT&, const Range1T&, const Range2T&) [with SequenceT = std::__cxx11::basic_string<char>; Range1T = char [11]; Range2T = char [1]]'
  179 |             ::boost::algorithm::find_format(
  180 |                 Input,
  181 |                 ::boost::algorithm::first_finder(Search),
  182 |                 ::boost::algorithm::const_formatter(Format) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:133:0:   required from here
  133 |         boost::replace_first(value, " (Default)", "");
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:65:52: warning: 'this' pointer is null [-Wnonnull]
   65 |     static void failed() { ((Model*)0)->constraints(); }
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/concept.hpp:65: note: in a call to non-static member function 'void boost::algorithm::FormatterConcept<FormatterT, FinderT, IteratorT>::constraints() [with FormatterT = boost::algorithm::detail::const_formatF<boost::iterator_range<const char*> >; FinderT = boost::algorithm::detail::first_finderF<const char*, boost::algorithm::is_equal>; IteratorT = __gnu_cxx::__normal_iterator<const char*, std::__cxx11::basic_string<char> >]'
   65 |             void constraints()
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   required from 'class Eigen::VectorBlock<Eigen::Matrix<double, -1, 1>, -1>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:19:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
  563 |       diag.segment(i,n-i).minCoeff(&k);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_mcml.h: In instantiation of 'void model_mcml_namespace::model_mcml::write_array_impl(RNG&, VecR&, VecI&, VecVar&, 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> >; VecR = std::vector<double>; VecI = std::vector<int>; VecVar = std::vector<double>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]':
stanExports_mcml.h:749:0:   required from 'void model_mcml_namespace::model_mcml::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>]'
  749 |     write_array_impl(base_rng, params_r, params_i, vars,
  750 |       emit_transformed_parameters, emit_generated_quantities, pstream);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1105:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::constrain_pars(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1105 |     model_.write_array(base_rng, params_r, params_i, par);
stanExports_mcml.cc:26:0:   required from here
   26 |     .method("constrain_pars", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::constrain_pars)
stanExports_mcml.h:584: warning: unused variable 'jacobian__' [-Wunused-variable]
  584 |     constexpr bool jacobian__ = false;
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:92:58:   required from 'stan::math::log_sum_exp<Eigen::Matrix<double, -1, 1> >(const Eigen::Matrix<double, -1, 1>&)::<lambda(const auto:304&)> [with auto:304 = Eigen::Matrix<double, -1, 1>]'
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:93:13:   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:304&)>; T = Eigen::Matrix<double, -1, 1>]'
   93 |     return f(x);
      |            ~^~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log_sum_exp.hpp:83:39:   required from 'auto stan::math::log_sum_exp(const T&) [with T = Eigen::Matrix<double, -1, 1>; stan::require_container_st<std::is_arithmetic, Container>* <anonymous> = 0]'
   83 |   return apply_vector_unary<T>::reduce(x, [&](const auto& v) {
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
   84 |     if (v.size() == 0) {
      |     ~~~~~~~~~~~~~~~~~~~~               
   85 |       return NEGATIVE_INFTY;
      |       ~~~~~~~~~~~~~~~~~~~~~~           
   86 |     }
      |     ~                                  
   87 |     const auto& v_ref = to_ref(v);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~     
   88 |     const double max = v_ref.maxCoeff();
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   89 |     if (!std::isfinite(max)) {
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~         
   90 |       return max;
      |       ~~~~~~~~~~~                      
   91 |     }
      |     ~                                  
   92 |     return max + std::log((v_ref.array() - max).exp().sum());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |   });
      |   ~~                                   
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/dirichlet_rng.hpp:59:35:   required from here
   59 |     double log_sum_y = log_sum_exp(log_y);
      |                        ~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:330:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 0>':
D:/RCompile/CRANpkg/lib/4.6/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]'
   72 |     typedef blas_data_mapper<typename Traits::ResScalar, Index, ColMajor, Unaligned, ResInnerStride> ResMapper;
      |                                                                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1080:42:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1080 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   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]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'class Eigen::internal::gebp_traits<double, double, false, false, 1, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1085:45:   required from 'struct Eigen::internal::gebp_kernel<double, double, long long int, Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>, 4, 4, false, false>'
 1085 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:92:109:   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]'
   92 |     gebp_kernel<LhsScalar, RhsScalar, Index, ResMapper, Traits::mr, Traits::nr, ConjugateLhs, ConjugateRhs> gebp;
      |                                                                                                             ^~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:425:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  425 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:426:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  426 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:427:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
  427 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:384:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
  384 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:49: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  432 |     Vectorizable = unpacket_traits<_LhsPacket>::vectorizable && unpacket_traits<_RhsPacket>::vectorizable,
      |                                                                                              ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:432:94: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  433 |     LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:433:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  434 |     RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:434:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  435 |     ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1,
      |                                                                 ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:435:65: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  460 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:460:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  461 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:461:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  462 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:462:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
  465 |   typedef QuadPacket<RhsPacket> RhsPacketx4;
      |                                 ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:465:33: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10:   required from 'Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  159 |   return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]'
  102 |   result << A.template cast<T_return>(), B;
      |   ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   29 |   ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0);
      |                     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Matrix<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Matrix<double, -1, 1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:478:32:   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]'
  478 |   return Scalar(derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>())) / Scalar(this->size());
      |                 ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/variance.hpp:25:0:   required from here
   25 |   vector_d diff = dtrs_vals.array() - dtrs_vals.mean();
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, -1>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:451:40:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  451 |     subdiag = mat.template diagonal<-1>().real();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:91:   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]'
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>'
   56 | template<typename VectorType, int Size> class VectorBlock
      |                                               ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:101:   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]'
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:191:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  191 |         _pk.noalias() = -_gk;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:34:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   34 |     auto arena_A_val = to_arena(arena_A.val());
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:35:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   35 |     auto arena_B_val = to_arena(arena_B.val());
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65:   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::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
   80 |     : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
      |                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0:   required by substitution of 'template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 0>; Types = {Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:36:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   36 |     using return_t
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   43 |             arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   43 |             arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:43:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   43 |             arena_A.adj() += res.adj_op() * arena_B_val.transpose();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:47:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   47 |             arena_A.adj() += res_adj * arena_B_val.transpose();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65:   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::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
   80 |     : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
      |                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0:   required by substitution of 'template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type> [with ReturnType = const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; Types = {Eigen::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:55:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   55 |     using return_t
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   57 |     arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   57 |     arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, 0, Eigen::Stride<0, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27:   required from 'stan::math::value_of<arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&>(arena_matrix<Eigen::Matrix<var_value<double>, -1, -1>, void>&)::<lambda(auto:11&)> [with auto:11 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, -1>, void>]'
   75 |         return a.unaryExpr([](const auto& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:66:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   66 |         = return_var_matrix_t<decltype(value_of(arena_A).eval() * arena_B), T1,
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_base_pointer_convertible.hpp:29:17:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_var_matrix.hpp:80:65:   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::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1> >'
   80 |     : bool_constant<math::disjunction<is_var_matrix<Types>...>::value> {};
      |                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0:   required by substitution of 'template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::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::Map<Eigen::Matrix<double, -1, -1, 0, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:65:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   65 |     using return_t
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  169 |   return add(b, a);
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  169 |   return add(b, a);
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&>(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  169 |   return add(b, a);
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:147:0:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  147 |       = decltype((a.val().array() + as_array_or_scalar(b)).matrix());
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  169 |   return add(b, a);
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   29 |     = decltype(f(std::declval<std::remove_reference_t<Derived> *>()))::value
      |                ~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/is_eigen.hpp:21:71:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/meta/return_var_matrix.hpp:23:0:   required by substitution of 'template<class ReturnType, class ... Types> using stan::return_var_matrix_t = std::conditional_t<((bool)stan::is_any_var_matrix<ReturnType, Types ...>::value), stan::math::var_value<typename stan::math::promote_scalar_type<double, typename std::decay<typename stan::plain_type<T>::type>::type, void>::type>, typename stan::math::promote_scalar_type<stan::math::var_value<double>, typename std::decay<typename stan::plain_type<T>::type>::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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; Types = {Eigen::Matrix<stan::math::var_value<double, void>, -1, 1, 0, -1, 1>}]'
   23 |     is_any_var_matrix<ReturnType, Types...>::value,
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:148:0:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  148 |   using ret_type = return_var_matrix_t<op_ret_type, VarMat>;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  169 |   return add(b, a);
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  169 |   return add(b, a);
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:150:0:   required from 'auto stan::math::add(const VarMat&, const Arith&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  150 |   arena_t<ret_type> ret(arena_a.val().array() + as_array_or_scalar(b));
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_addition.hpp:169:0:   required from 'auto stan::math::add(const Arith&, const VarMat&) [with Arith = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; VarMat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_st_arithmetic<T>* <anonymous> = 0; stan::require_rev_matrix_t<VarMat>* <anonymous> = 0]'
  169 |   return add(b, a);
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:145:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <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]'
  145 |     arena_t<return_t> res = arena_A.val() * arena_B.val().array();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:196:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = double; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T>::type>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T_actual, void>::type>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
  196 |   return multiply(B, A);
stanExports_mcml.h:411:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:196:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = double; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T>::type>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T_actual, void>::type>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
  196 |   return multiply(B, A);
stanExports_mcml.h:411:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:163:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <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]'
  163 |       arena_B.adj().array() += arena_A * res.adj().array();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:196:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = double; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T>::type>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T_actual, void>::type>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
  196 |   return multiply(B, A);
stanExports_mcml.h:411:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:196:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = double; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T>::type>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T_actual, void>::type>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
  196 |   return multiply(B, A);
stanExports_mcml.h:411:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:170:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <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]'
  170 |     arena_t<return_t> res = arena_A.val() * arena_B.array();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:196:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = double; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T>::type>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T_actual, void>::type>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
  196 |   return multiply(B, A);
stanExports_mcml.h:411:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:172:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <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]'
  172 |       arena_A.adj() += (res.adj().array() * arena_B.array()).sum();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:196:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Matrix<var_value<double>, -1, 1>; T2 = double; stan::require_matrix_t<T>* <anonymous> = 0; stan::require_not_matrix_t<T2>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T>::type>* <anonymous> = 0; stan::require_not_complex_t<typename stan::value_type<T_actual, void>::type>* <anonymous> = 0; stan::require_not_row_and_col_vector_t<T1, T2>* <anonymous> = 0]'
  196 |   return multiply(B, A);
stanExports_mcml.h:411:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/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::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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<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> > > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<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> > > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:173:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  173 |     auto inv_m = to_arena(arena_m.val().array().inverse());
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:175:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  175 |     arena_t<promote_scalar_t<var, Mat>> res = arena_c.val() * inv_m;
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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/4.6/RcppEigen/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::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:177:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  177 |       auto inv_times_res = (inv_m * res.adj().array()).eval();
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/RcppEigen/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::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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:178:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  178 |       arena_m.adj().array() -= inv_times_res * res.val().array();
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:185:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  185 |     arena_t<promote_scalar_t<var, Mat>> res = value_of(c) * inv_m;
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::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/4.6/RcppEigen/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_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_product_op<double, double>, const Eigen::Map<Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:187:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  187 |       arena_m.adj().array() -= inv_m * res.adj().array() * res.val().array();
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:191:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  191 |     auto inv_m = to_arena(value_of(m).array().inverse());
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:191:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  191 |     auto inv_m = to_arena(value_of(m).array().inverse());
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::var_value<double>, -1, 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/4.6/RcppEigen/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::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::var_value<double>, -1, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:131:0:   required from 'auto stan::math::divide(const Mat&, Scalar) [with Scalar = double; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  131 |     arena_t<promote_scalar_t<var, Mat>> res = inv_c * arena_m.val();
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<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> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:143:0:   required from 'auto stan::math::divide(const Mat&, Scalar) [with Scalar = double; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  143 |       arena_m.adj().array() += inv_c * res.adj_op().array();
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/RcppEigen/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::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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:143:0:   required from 'auto stan::math::divide(const Mat&, Scalar) [with Scalar = double; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  143 |       arena_m.adj().array() += inv_c * res.adj_op().array();
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:149:0:   required from 'auto stan::math::divide(const Mat&, Scalar) [with Scalar = double; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  149 |     arena_t<promote_scalar_t<var, Mat>> res = inv_c * value_of(m).array();
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/RcppEigen/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::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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:151:0:   required from 'auto stan::math::divide(const Mat&, Scalar) [with Scalar = double; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  151 |       arena_c.adj() -= inv_c * (res.adj().array() * res.val().array()).sum();
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27:   required from 'stan::math::value_of<const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&>(const Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(auto:11&)> [with auto:11 = const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log_fun, Eigen::Matrix<stan::math::var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
   75 |         return a.unaryExpr([](const auto& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:168:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = double; T2 = Eigen::CwiseUnaryOp<apply_scalar_unary<log_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Matrix<var_value<double>, -1, 1> >; stan::require_not_matrix_t<T1>* <anonymous> = 0; stan::require_matrix_t<Mat>* <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]'
  168 |     arena_t<promote_scalar_t<double, T2>> arena_B = value_of(B);
stanExports_mcml.h:453:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  453 |                                        stan::math::multiply(
  454 |                                          stan::model::rvalue(sigma, "sigma",
  455 |                                            stan::model::index_uni(1)),
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 2, 1> >(const char*, const char*, const Eigen::Matrix<double, 2, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 2, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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, 2, 1>]'
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:35:15:   required from 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]'
   35 |   check_finite("hypergeometric_pFq", "a", a_ref);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30:   required from 'stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]'
  189 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  190 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, 2, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0, 1, 1> >(const char*, const char*, const Eigen::Matrix<double, 1, 1, 0, 1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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, 0, 1, 1>]'
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:36:15:   required from 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]'
   36 |   check_finite("hypergeometric_pFq", "b", b_ref);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30:   required from 'stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]'
  189 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  190 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 2, 1> >(const char*, const char*, const Eigen::Matrix<double, 2, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 2, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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, 2, 1>]'
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:39:16:   required from 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]'
   39 |   check_not_nan("hypergeometric_pFq", "a", a_ref);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30:   required from 'stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]'
  189 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  190 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, 2, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0, 1, 1> >(const char*, const char*, const Eigen::Matrix<double, 1, 1, 0, 1, 1>&)::<lambda(double)>; T = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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, 0, 1, 1>]'
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_pFq.hpp:40:16:   required from 'stan::return_type_t<T_x, T_sigma, T_l> stan::math::hypergeometric_pFq(const Ta&, const Tb&, const Tz&) [with Ta = Eigen::Matrix<double, 2, 1>; Tb = Eigen::Matrix<double, 1, 1, 0, 1, 1>; Tz = double; stan::require_all_eigen_st<std::is_arithmetic, Ta, Tb>* <anonymous> = 0; stan::require_arithmetic_t<Tz>* <anonymous> = 0; stan::return_type_t<T_x, T_sigma, T_l> = double]'
   40 |   check_not_nan("hypergeometric_pFq", "b", b_ref);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_2F1.hpp:189:30:   required from 'stan::return_type_t<Ta1, Ta1, Tb, Tz> stan::math::hypergeometric_2F1(const Ta1&, const Ta2&, const Tb&, const Tz&) [with Ta1 = double; Ta2 = double; Tb = double; Tz = double; ScalarT = double; OptT = boost::optional<double>; stan::require_all_arithmetic_t<Ta1, Ta2, Tb, Tz>* <anonymous> = 0; stan::return_type_t<Ta1, Ta1, Tb, Tz> = double]'
  189 |     return hypergeometric_pFq(a_args, b_args, z);
      |            ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:190:39:   required from 'TupleT stan::math::internal::grad_2F1_impl(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool calc_a1 = true; bool calc_a2 = true; bool calc_b1 = true; bool calc_z = true; T1 = double; T2 = double; T3 = double; T_z = double; ScalarT = double; TupleT = std::tuple<double, double, double, double>]'
  190 |       auto hyper1 = hypergeometric_2F1(a1_euler, a2_euler, b1, z_euler);
      |                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_2F1.hpp:306:57:   required from 'auto stan::math::grad_2F1(const T1&, const T2&, const T3&, const T_z&, double, int) [with bool ReturnSameT = true; T1 = double; T2 = double; T3 = double; T_z = double; stan::require_t<std::integral_constant<bool, __v> >* <anonymous> = 0]'
  306 |   return internal::grad_2F1_impl<true, true, true, true>(a1, a2, b1, z,
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
  307 |                                                          precision, max_steps);
      |                                                          ~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/grad_inc_beta.hpp:37:25:   required from here
   37 |         = grad_2F1<true>(a + b, 1.0, a + 1, z);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<double, 1, 1, 0, 1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, member_sum<double, double>, 1>; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:203:15:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
  203 |     PanelType panel(m_arg,
      |               ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:251:78:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]'
  251 |       PacketScalar packet_res0 = eval.template packet<alignment,PacketScalar>(alignedStart);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:277:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 2, -1, true> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:217:20:   required from 'PacketType Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::packet(Eigen::Index) const [with int LoadMode = 0; PacketType = __vector(2) double; ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Eigen::Index = long long int]'
  217 |     PanelEvaluator panel_eval(panel);
      |                    ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:251:78:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]'
  251 |       PacketScalar packet_res0 = eval.template packet<alignment,PacketScalar>(alignedStart);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:72:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:268:34:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]'
  268 |         res = func(res,eval.coeff(index));
      |                        ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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]'
  100 |       pack_rhs(blockB, rhs.getSubMapper(k2,0), actual_kc, size);
      |       ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 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; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/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]'
  106 |         pack_lhs(blockA, lhs.getSubMapper(i2, k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2256:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2256 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2258:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2258 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2259 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2259:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2298 |               PacketBlock<HalfPacket> kernel_half;
      |                                       ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2298:39: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2304 |               PacketBlock<QuarterPacket> kernel_quarter;
      |                                          ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2304:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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]'
  113 |           gebp(res.getSubMapper(i2, 0), blockA, blockB, actual_mc, actual_kc,
      |           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  114 |                (std::min)(size,i2), alpha, -1, -1, 0, 0);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1920:103: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1920 |           const int SResPacketHalfSize = unpacket_traits<typename unpacket_traits<SResPacket>::half>::size;
      |                                                                                                       ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1921 |           const int SResPacketQuarterSize = unpacket_traits<typename unpacket_traits<typename unpacket_traits<SResPacket>::half>::half>::size;
      |                                                                                                                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1921:138: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1977:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1977 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SResPacket>::half,SResPacket>::type SResPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1978:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1978 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SLhsPacket>::half,SLhsPacket>::type SLhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1979:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1979 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SRhsPacket>::half,SRhsPacket>::type SRhsPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:135: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 1980 |               typedef typename conditional<SwappedTraits::LhsProgress>=8,typename unpacket_traits<SAccPacket>::half,SAccPacket>::type SAccPacketHalf;
      |                                                                                                                                       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 16>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 4, 4> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 4, 4>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  155 |     Matrix<ResScalar,BlockSize,BlockSize,ColMajor> buffer((internal::constructor_without_unaligned_array_assert()));
      |                                                    ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs2_op<double>, const Eigen::Matrix<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/variance.hpp:28:0:   required from here
   28 |   double variance = diff.squaredNorm() / size_m1;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:46:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:26:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:43:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  352 |       Block<MatrixType,Dynamic,1> A21(mat,k+1,k,rs,1);
      |                                   ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:80:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  358 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
      |                                                                     ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:358:67:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  358 |         temp.head(k) = mat.diagonal().real().head(k).asDiagonal() * A10.adjoint();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:126:7:   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>'
  126 | class dense_product_base<Lhs, Rhs, Option, InnerProduct>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:35:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
      |                              ~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |                            ~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:32:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  387 |         ret = ret && (A21.array()==Scalar(0)).all();
      |                       ~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/add.hpp:45:13:   required from 'auto stan::math::add(const Mat1&, const Mat2&) [with Mat1 = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Mat2 = Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0>; stan::require_all_eigen_t<T_desired, T_actual>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
   45 |   return m1 + m2;
      |          ~~~^~~~
stanExports_mcml.h:362:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<T_actual, void>::type>* <anonymous> = 0]'
   84 |   return c * m;
      |          ~~^~~
stanExports_mcml.h:426:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >&>(const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >&>(const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >&)::<lambda(auto:13&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33:   required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = int; T2 = Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
   47 |   return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64:   required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = int; T2 = Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
   47 |   return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(auto:13&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33:   required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
   47 |   return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64:   required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; T2 = double; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
   47 |   return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_mcml.h:439:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:456:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59:   required from 'stan::math::apply_vector_unary<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply<stan::math::log<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:169&)> >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&, const stan::math::log<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >]'
   46 |     return make_holder([](const auto& a) { return a.matrix().derived(); },
      |                                                   ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply<stan::math::log<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:169&)> >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&, const stan::math::log<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:456:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/multiply.hpp:84:12:   required from 'auto stan::math::multiply(Scal, const Mat&) [with Scal = double; Mat = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_eigen_t<T>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0; stan::require_all_not_complex_t<Scal, typename stan::value_type<T_actual, void>::type>* <anonymous> = 0]'
   84 |   return c * m;
      |          ~~^~~
stanExports_mcml.h:453:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  453 |                                        stan::math::multiply(
  454 |                                          stan::model::rvalue(sigma, "sigma",
  455 |                                            stan::model::index_uni(1)),
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&>(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&)::<lambda(auto:13&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:452:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  452 |                                      stan::math::divide(1,
  453 |                                        stan::math::multiply(
  454 |                                          stan::model::rvalue(sigma, "sigma",
  455 |                                            stan::model::index_uni(1)),
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:33:   required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = int; T2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
   47 |   return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:452:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  452 |                                      stan::math::divide(1,
  453 |                                        stan::math::multiply(
  454 |                                          stan::model::rvalue(sigma, "sigma",
  455 |                                            stan::model::index_uni(1)),
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/divide.hpp:47:64:   required from 'auto stan::math::divide(const T1&, const T2&) [with T1 = int; T2 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >; stan::require_any_eigen_t<T1, T2>* <anonymous> = 0; stan::require_all_not_st_var<Mat1, Mat2>* <anonymous> = 0]'
   47 |   return (as_array_or_scalar(m) / as_array_or_scalar(c)).matrix();
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_mcml.h:452:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  452 |                                      stan::math::divide(1,
  453 |                                        stan::math::multiply(
  454 |                                          stan::model::rvalue(sigma, "sigma",
  455 |                                            stan::model::index_uni(1)),
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/exp.hpp:63:50:   required from 'stan::math::exp<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:215&)> [with auto:215 = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >]'
   63 |       x, [](const auto& v) { return v.array().exp(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:471:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  471 |                                          stan::math::exp(
  472 |                                            stan::math::add(Xb,
  473 |                                              stan::math::multiply(Z, gamma)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59:   required from 'stan::math::apply_vector_unary<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply<stan::math::exp<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:215&)> >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&, const stan::math::exp<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:215&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >]'
   46 |     return make_holder([](const auto& a) { return a.matrix().derived(); },
      |                                                   ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply<stan::math::exp<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:215&)> >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&, const stan::math::exp<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(const auto:215&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:471:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  471 |                                          stan::math::exp(
  472 |                                            stan::math::add(Xb,
  473 |                                              stan::math::multiply(Z, gamma)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::Phi_approx_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::Phi_approx_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::Phi_approx_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::Phi_approx_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::Phi_approx_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::Phi_approx_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:488:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  488 |                                              stan::math::Phi_approx(
  489 |                                                stan::math::add(Xb,
  490 |                                                  stan::math::multiply(Z,
  491 |                                                    gamma)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:247:0:   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_mcml_namespace::model_mcml, false>; Scalar = double; XType = Eigen::Matrix<double, -1, 1>]'
  247 |     x1.noalias() = x0 + alpha1 * p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:209:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  209 |           = WolfeLineSearch(_func, _alpha, _xk_1, _fk_1, _gk_1, _pk, _xk, _fk,
  210 |                             _gk, _ls_opts.c1, _ls_opts.c2, _ls_opts.minAlpha,
  211 |                             _ls_opts.maxLSIts, _ls_opts.maxLSRestarts);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, -1, 1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0:   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>]'
   34 |         = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0:   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>]'
   34 |         = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:0:   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>]'
   34 |         = HessianT::Identity(yk.size(), yk.size()) - rhok * sk * yk.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:0:   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>]'
   55 |     pk.noalias() = -(_Hk * gk);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:254:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  254 |     _qn.search_direction(_pk, _gk);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:117:31:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  117 |   T_scale_val inv_sigma = 1.0 / as_array_or_scalar(sigma_val_vec);
      |                           ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:125:45:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  125 |         = forward_as<T_y_scaled_tmp>((x_val * beta_val_vec).coeff(0, 0));
      |                                      ~~~~~~~^~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:126:47:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  126 |     y_scaled = (as_array_or_scalar(y_val_vec) - y_scaled_tmp
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_difference_op<double, double>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:127:17:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  126 |     y_scaled = (as_array_or_scalar(y_val_vec) - y_scaled_tmp
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  127 |                 - as_array_or_scalar(alpha_val_vec))
      |                 ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::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::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:128:16:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  126 |     y_scaled = (as_array_or_scalar(y_val_vec) - y_scaled_tmp
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  127 |                 - as_array_or_scalar(alpha_val_vec))
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  128 |                * inv_sigma;
      |                ^~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:140:69:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  140 |     Matrix<T_partials_return, Dynamic, 1> mu_derivative = inv_sigma * y_scaled;
      |                                                           ~~~~~~~~~~^~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:152:30:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  152 |                 beta_val_vec * sum(mu_derivative));
      |                 ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:155:29:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  155 |             = (beta_val_vec * mu_derivative.transpose()).transpose();
      |               ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:155:67:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  155 |             = (beta_val_vec * mu_derivative.transpose()).transpose();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:164:63:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  164 |         partials<3>(ops_partials) = mu_derivative.transpose() * x_val;
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:178:50:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  178 |         partials<4>(ops_partials) = (y_scaled_sq - 1) * inv_sigma;
      |                                     ~~~~~~~~~~~~~^~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:178:55:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  178 |         partials<4>(ops_partials) = (y_scaled_sq - 1) * inv_sigma;
      |                                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:47:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:207:22:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  207 |       logp -= sum(log(sigma_val_vec));
      |                   ~~~^~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7:   required from 'class Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
  140 | class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:59:   required from 'stan::math::apply_vector_unary<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, void>::apply<stan::math::log<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(const auto:169&)> >(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const stan::math::log<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)> [with auto:6 = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >]'
   46 |     return make_holder([](const auto& a) { return a.matrix().derived(); },
      |                                                   ~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::apply_vector_unary<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, void>::apply<stan::math::log<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(const auto:169&)> >(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&, const stan::math::log<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(const auto:169&)>&)::<lambda(const auto:6&)>; Args = {Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:46:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:207:22:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  207 |       logp -= sum(log(sigma_val_vec));
      |                   ~~~^~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27:   required from 'stan::math::value_of<Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> > >(Eigen::ArrayWrapper<const Eigen::Matrix<var_value<double>, -1, 1> >&&)::<lambda(auto:11&)> [with auto:11 = Eigen::ArrayWrapper<const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >]'
   75 |         return a.unaryExpr([](const auto& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:59:65:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   59 |   decltype(auto) mu_val = to_ref(as_value_column_array_or_scalar(mu_ref));
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/inv.hpp:55:54:   required from 'stan::math::inv<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:220&)> [with auto:220 = Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
   55 |       x, [](const auto& v) { return v.array().inverse(); });
      |                                     ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:76:68:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   76 |       = to_ref_if<!is_constant_all<T_y, T_scale, T_loc>::value>(inv(sigma_val));
      |                                                                 ~~~^~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   77 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   96 |       partials<0>(ops_partials) = -scaled_diff;
      |                                   ^~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   99 |       partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma;
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   99 |       partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma;
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:78:33:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   78 |   const auto& log_y = to_ref(log(y_val));
      |                              ~~~^~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, void>::apply(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, void>::apply(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, void>::apply(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, void>::apply(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::log1m_fun, Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, void>::apply(const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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_fun; T = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:79:37:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   79 |   const auto& log1m_y = to_ref(log1m(y_val));
      |                                ~~~~~^~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::lgamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::Array<double, -1, 1>]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:84:23:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   84 |     logp -= sum(lgamma(alpha_val)) * N / max_size(alpha);
      |                 ~~~~~~^~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:90:28:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   90 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(y, alpha);
      |                 ~~~~~~~~~~~^~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:90:35:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   90 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(y, alpha);
      |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:27:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   99 |         = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1);
      |           ~~~~~~~~~~~~~~~~^~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:61:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   99 |         = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1);
      |                                                      ~~~~~~~^~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::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/4.6/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_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::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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::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> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::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> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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::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> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:52:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   99 |         = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1);
      |                                     ~~~~~~~~~~~~~~~^~~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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::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/4.6/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_quotient_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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::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> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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::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> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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::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> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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::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> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:99:35:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   99 |         = (alpha_val - 1) / y_val + (beta_val - 1) / (y_val - 1);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:105:23:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
  105 |             alpha_val + beta_val);
      |             ~~~~~~~~~~^~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::digamma_fun; T = Eigen::Array<double, -1, 1>]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:110:64:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
  110 |             && !is_constant_all<T_scale_fail>::value > (digamma(alpha_beta));
      |                                                         ~~~~~~~^~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:113:42:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
  113 |             = log_y + digamma_alpha_beta - digamma(alpha_val);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<Eigen::Array<double, -1, 1> >(const Eigen::Array<double, -1, 1>&)::<lambda(const auto:169&)> [with auto:169 = Eigen::Array<double, -1, 1>]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:99:58:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
   99 |         = to_ref_if<!is_constant_all<T_shape>::value>(log(beta_val));
      |                                                       ~~~^~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:100:27:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  100 |     logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta);
      |                 ~~~~~~~~~~^~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:44:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  102 |       partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val);
      |                                   ~~~~~~~~~^~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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/4.6/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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:102:52:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  102 |       partials<1>(ops_partials) = log_beta + log_y - digamma(alpha_val);
      |                                   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:35:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  106 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y);
      |                 ~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:26:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  109 |     logp -= sum(beta_val * y_val) * N / max_size(beta, y);
      |                 ~~~~~~~~~^~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:49:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  113 |     partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val;
      |                                 ~~~~~~~~~~~~~~~~^~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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> > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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> > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_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> > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:113:57:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  113 |     partials<0>(ops_partials) = (alpha_val - 1) / y_val - beta_val;
      |                                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_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/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_quotient_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:43:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  116 |     partials<2>(ops_partials) = alpha_val / beta_val - y_val;
      |                                 ~~~~~~~~~~^~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_quotient_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:116:54:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  116 |     partials<2>(ops_partials) = alpha_val / beta_val - y_val;
      |                                 ~~~~~~~~~~~~~~~~~~~~~^~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:112:34:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  112 |     ytheta = signs * (ytheta_tmp + as_array_or_scalar(alpha_val_vec));
      |                      ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:112:20:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  112 |     ytheta = signs * (ytheta_tmp + as_array_or_scalar(alpha_val_vec));
      |              ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:114:42:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  114 |     ytheta = (x_val * beta_val_vec).array();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:122:66:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  122 |   Eigen::Array<T_partials_return, Dynamic, 1> exp_m_ytheta = exp(-ytheta);
      |                                                                  ^~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:122:65:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  122 |   Eigen::Array<T_partials_return, Dynamic, 1> exp_m_ytheta = exp(-ytheta);
      |                                                              ~~~^~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:126:59:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  126 |                   (ytheta < -cutoff).select(ytheta, -log1p(exp_m_ytheta))));
      |                                                      ~~~~~^~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log1p_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_log1p_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log1p_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log1p_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log1p_op<double>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:126:53:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  126 |                   (ytheta < -cutoff).select(ytheta, -log1p(exp_m_ytheta))));
      |                                                     ^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > >'
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:126:44:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  126 |                   (ytheta < -cutoff).select(ytheta, -log1p(exp_m_ytheta))));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::Array<double, -1, 1>, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log1p_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:125:18:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  124 |       (ytheta > cutoff)
      |       ~~~~~~~~~~~~~~~~~
  125 |           .select(-exp_m_ytheta,
      |           ~~~~~~~^~~~~~~~~~~~~~~
  126 |                   (ytheta < -cutoff).select(ytheta, -log1p(exp_m_ytheta))));
      |                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, 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/4.6/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::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:141:41:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  141 |                           .select(signs * T_partials_return(1.0),
      |                                   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:142:41:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~^~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:142:72:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                                          ~~~~~~~~~~~~~~^~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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/4.6/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::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:142:56:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:141:34:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  140 |                       (ytheta < -cutoff)
      |                       ~~~~~~~~~~~~~~~~~~
  141 |                           .select(signs * T_partials_return(1.0),
      |                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::Array<int, -1, 1>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:139:22:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  138 |         = (ytheta > cutoff)
      |           ~~~~~~~~~~~~~~~~~
  139 |               .select(-exp_m_ytheta,
      |               ~~~~~~~^~~~~~~~~~~~~~~
  140 |                       (ytheta < -cutoff)
      |                       ~~~~~~~~~~~~~~~~~~
  141 |                           .select(signs * T_partials_return(1.0),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix<double, -1, 1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:149:55:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  149 |         partials<2>(ops_partials) = x_val.transpose() * theta_derivative;
      |                                     ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::inv_logit_fun; T = Eigen::Array<double, -1, 1>]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:70:61:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   70 |       = to_ref_if<!is_constant_all<T_prob>::value>(inv_logit(alpha_val));
      |                                                    ~~~~~~~~~^~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::inv_logit_fun; T = Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:72:61:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   72 |       = to_ref_if<!is_constant_all<T_prob>::value>(inv_logit(-alpha_val));
      |                                                    ~~~~~~~~~^~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:77:38:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   77 |   T_partials_return logp = sum(n_val * log_inv_logit_alpha
      |                                ~~~~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:78:50:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   78 |                                + (N_val - n_val) * log_inv_logit_neg_alpha);
      |                                  ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:78:32:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   77 |   T_partials_return logp = sum(n_val * log_inv_logit_alpha
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |                                + (N_val - n_val) * log_inv_logit_neg_alpha);
      |                                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_binary.hpp:60:34:   required from 'stan::math::apply_scalar_binary<const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)> >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>&&)::<lambda(auto:59&, auto:60&, auto:61&)> [with auto:59 = stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>; auto:60 = const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; auto:61 = const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
   60 |         return x_inner.binaryExpr(y_inner, f_inner);
      |                ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:80:41:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   80 |     logp += sum(binomial_coefficient_log(N_val, n_val)) * maximum_size
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<stan::math::Holder<Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<stan::math::Holder<Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<stan::math::Holder<Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:115:7:   required from 'class stan::math::Holder<Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)> >'
  115 | class Holder
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:312:16:   required from 'auto stan::math::internal::make_holder_impl_construct_object(T&&, std::index_sequence<Is ...>, const std::tuple<Args* ...>&) [with T = Eigen::CwiseBinaryOp<stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >; long long unsigned int ...Is = {0}; Args = {stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>}; std::index_sequence<Is ...> = std::integer_sequence<long long unsigned int, 0>]'
  312 |   return holder(std::forward<T>(expr), std::get<Is>(ptrs)...);
      |          ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:330:43:   required from 'auto stan::math::internal::make_holder_impl(const F&, std::index_sequence<Is ...>, Args&& ...) [with F = stan::math::apply_scalar_binary<const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)> >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>&&)::<lambda(auto:59&, auto:60&, auto:61&)>; long long unsigned int ...Is = {0, 1, 2}; Args = {stan::math::binomial_coefficient_log<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(const auto:242&, const auto:243&)>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >&, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >&}; std::index_sequence<Is ...> = std::integer_sequence<long long unsigned int, 0, 1, 2>]'
  330 |   return make_holder_impl_construct_object(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  331 |       func(*std::get<Is>(res)...),
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~         
  332 |       std::make_index_sequence<std::tuple_size<decltype(ptrs)>::value>(), ptrs);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:353:36:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:80:41:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   80 |     logp += sum(binomial_coefficient_log(N_val, n_val)) * maximum_size
      |                 ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:88:19:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   88 |           = n_val * inv_logit_neg_alpha - (N_val - n_val) * inv_logit_alpha;
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:88:59:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   88 |           = n_val * inv_logit_neg_alpha - (N_val - n_val) * inv_logit_alpha;
      |                                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:88:41:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   88 |           = n_val * inv_logit_neg_alpha - (N_val - n_val) * inv_logit_alpha;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 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/4.6/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::Array<double, -1, 1> >, 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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1> >, 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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:93:11:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   92 |           sum_n * inv_logit_neg_alpha
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |           - (sum(N_val) * maximum_size / math::size(N) - sum_n)
      |           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   94 |                 * inv_logit_alpha);
      |                 ~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1>, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/value_of.hpp:75:27:   required from 'stan::math::value_of<Eigen::Matrix<var_value<double>, -1, 1>&>(Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)> [with auto:11 = Eigen::Matrix<stan::math::var_value<double>, -1, 1>]'
   75 |         return a.unaryExpr([](const auto& scal) { return value_of(scal); });
      |                ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_lpmf.hpp:56:60:   required from 'stan::return_type_t<T_prob> stan::math::binomial_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseUnaryOp<apply_scalar_unary<exp_fun, Eigen::Matrix<var_value<double>, -1, 1>, void>::apply(const Eigen::Matrix<stan::math::var_value<double>, -1, 1>&)::<lambda(auto:3&&)>, const 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_prob> = var_value<double>]'
   56 |   check_bounded(function, "Probability parameter", value_of(theta_ref), 0.0,
      |                                                    ~~~~~~~~^~~~~~~~~~~
stanExports_mcml.h:506:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  505 |                                 lp_accum__.add(stan::math::binomial_lpmf<
  506 |                                                  propto__>(yint, n,
  507 |                                                  stan::math::exp(
  508 |                                                    stan::math::add(Xb,
  509 |                                                      stan::math::multiply(Z,
  510 |                                                        gamma)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:118:0:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  118 |       = as_array_or_scalar(y_val_vec) - exp(theta.array());
stanExports_mcml.h:535:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  534 |                                       lp_accum__.add(stan::math::poisson_log_glm_lpmf<
  535 |                                                        propto__>(yint, Z, Xb,
  536 |                                                        gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:118:0:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  118 |       = as_array_or_scalar(y_val_vec) - exp(theta.array());
stanExports_mcml.h:535:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  534 |                                       lp_accum__.add(stan::math::poisson_log_glm_lpmf<
  535 |                                                        propto__>(yint, Z, Xb,
  536 |                                                        gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, 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<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, 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<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, 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<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, 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<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, 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<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<int, int>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:128:0:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  128 |     logp -= sum(lgamma(as_array_or_scalar(y_val_vec) + 1));
stanExports_mcml.h:535:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  534 |                                       lp_accum__.add(stan::math::poisson_log_glm_lpmf<
  535 |                                                        propto__>(yint, Z, Xb,
  536 |                                                        gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:131:0:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  131 |   logp += sum(as_array_or_scalar(y_val_vec) * theta.array()
stanExports_mcml.h:535:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  534 |                                       lp_accum__.add(stan::math::poisson_log_glm_lpmf<
  535 |                                                        propto__>(yint, Z, Xb,
  536 |                                                        gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_exp_op<double>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/poisson_log_glm_lpmf.hpp:132:0:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  131 |   logp += sum(as_array_or_scalar(y_val_vec) * theta.array()
  132 |               - exp(theta.array()));
stanExports_mcml.h:535:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  534 |                                       lp_accum__.add(stan::math::poisson_log_glm_lpmf<
  535 |                                                        propto__>(yint, Z, Xb,
  536 |                                                        gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:268:7:   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]'
   15 |       EIGEN_STATIC_ASSERT((int(internal::evaluator<Derived>::Flags) & LinearAccessBit) || Derived::IsVectorAtCompileTime, \
      |                                                              ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:25:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  367 |     matA.col(i).coeffRef(i+1) = 1;
      |     ~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:475:5:   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>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]'
  475 |     EIGEN_PLAIN_ENUM_MIN(evaluator<VectorX>::Alignment, evaluator<VectorY>::Alignment),
      |                                              ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:315:40:   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>, 0, Eigen::Stride<0, 0> >; Eigen::Index = long long int]'
  315 |   internal::apply_rotation_in_the_plane(x, y, j.transpose());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:895:24:   required from 'void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long long int]'
  895 |       q.applyOnTheRight(k,k+1,rot);
      |       ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:548:87:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
  548 |     internal::tridiagonal_qr_step<MatrixType::Flags&RowMajorBit ? RowMajor : ColMajor>(diag.data(), subdiag.data(), start, end, computeEigenvectors ? eivec.data() : (Scalar*)0, n);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   required from 'class Eigen::internal::visitor_evaluator<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false> >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   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>, 0>; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:323:14:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::minCoeff(IndexType*) const [with int NaNPropagation = 0; IndexType = long long int; Derived = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  323 |   this->visit(minVisitor);
      |   ~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:496:37:   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]'
  496 |       return minCoeff<PropagateFast>(index);
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:563:35:   required from 'Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagType = Eigen::Matrix<double, -1, 1>; SubDiagType = Eigen::Matrix<double, -1, 1>; Eigen::Index = long long int]'
  563 |       diag.segment(i,n-i).minCoeff(&k);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:460:49:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  460 |   m_info = internal::computeFromTridiagonal_impl(diag, m_subdiag, m_maxIterations, computeEigenvectors, m_eivec);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   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]'
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   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]'
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   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> > >'
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   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>'
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:379:74:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  379 |           ret = ret && (mat.col(j).tail(size-j-1).array()==Scalar(0)).all();
      |                        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1384:41:   required from 'struct Eigen::internal::evaluator_wrapper_base<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
 1384 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1464:8:   required from 'struct Eigen::internal::unary_evaluator<Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
 1464 | struct unary_evaluator<ArrayWrapper<TArgType> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::ArrayWrapper<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:387:50:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  387 |         ret = ret && (A21.array()==Scalar(0)).all();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:152:30:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = double]'
  152 |                 beta_val_vec * sum(mu_derivative));
      |                 ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, 5>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> >, 0> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Product<Eigen::Matrix<double, -1, 1>, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 0> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:155:67:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = double]'
  155 |             = (beta_val_vec * mu_derivative.transpose()).transpose();
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:77:50:   required from 'stan::return_type_t<T, L, U> 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = double]'
   77 |   const auto& y_scaled = to_ref((y_val - mu_val) * inv_sigma);
      |                                 ~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:94:50:   required from 'stan::return_type_t<T, L, U> 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = double]'
   94 |                                  >= 2>(inv_sigma * y_scaled);
      |                                        ~~~~~~~~~~^~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:96:35:   required from 'stan::return_type_t<T, L, U> 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = double]'
   96 |       partials<0>(ops_partials) = -scaled_diff;
      |                                   ^~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:45:   required from 'stan::return_type_t<T, L, U> 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = double]'
   99 |       partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma;
      |                                   ~~~~~~~~~~^~~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_inverse_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:99:59:   required from 'stan::return_type_t<T, L, U> 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::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = double]'
   99 |       partials<2>(ops_partials) = inv_sigma * y_scaled_sq - inv_sigma;
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Matrix<double, -1, 1> >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Matrix<double, -1, 1> >&)::<lambda(auto:13&)>; Args = {const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >&}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:62:23:   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::digamma_fun; T = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >]'
   62 |     return x.unaryExpr([](auto&& x) {
      |            ~~~~~~~~~~~^~~~~~~~~~~~~~~
   63 |       return apply_scalar_unary<F, std::decay_t<decltype(x)>>::apply(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   64 |     });
      |     ~~                 
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_scalar_unary.hpp:72:38:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:113:21:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; T_scale_fail = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const 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, L, U> = double]'
  113 |             = log_y + digamma_alpha_beta - digamma(alpha_val);
      |               ~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::digamma_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:113:42:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = false; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::Matrix<double, -1, 1> >; T_scale_fail = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const 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, L, U> = double]'
  113 |             = log_y + digamma_alpha_beta - digamma(alpha_val);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&>(const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&>(const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<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_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > >&)::<lambda(auto:13&)>; Args = {const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >&>(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >&>(const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > > >&)::<lambda(auto:13&)>; Args = {const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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> > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1, 0, -1, 1> > > >&}; stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:435:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  435 |                   lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  436 |                                    stan::math::to_vector(ycont), (1 /
  437 |                                    stan::model::rvalue(sigma, "sigma",
  438 |                                      stan::model::index_uni(1))),
  439 |                                    stan::math::divide(
  440 |                                      stan::math::add(Xb,
  441 |                                        stan::math::multiply(Z, gamma)),
  442 |                                      stan::model::rvalue(sigma, "sigma",
  443 |                                        stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > > >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:50:   required from 'stan::math::as_array_or_scalar<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >&>(const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >&)::<lambda(auto:13&)> [with auto:13 = const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >]'
   57 |   return make_holder([](auto& x) { return x.array(); }, std::forward<T>(v));
      |                                           ~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/meta/holder.hpp:370:41:   required by substitution of 'template<class F, class ... Args, stan::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> > auto stan::math::make_holder(const F&, Args&& ...) [with F = stan::math::as_array_or_scalar<const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >&>(const Eigen::MatrixWrapper<const 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::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > > > > > > > >&)::<lambda(auto:13&)>; Args = {const Eigen::MatrixWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<int, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1, 0, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, 1, 0, -1, 1> >, const Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, 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::require_plain_type_t<decltype (declval<F>()((declval<Args&>)()...))>* <anonymous> = <missing>]'
  370 |               decltype(std::declval<F>()(std::declval<Args&>()...))>* = nullptr>
      |                        ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/as_array_or_scalar.hpp:57:21:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:448:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  448 |                     lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  449 |                                      stan::math::to_vector(ycont), (1 /
  450 |                                      stan::model::rvalue(sigma, "sigma",
  451 |                                        stan::model::index_uni(1))),
  452 |                                      stan::math::divide(1,
  453 |                                        stan::math::multiply(
  454 |                                          stan::model::rvalue(sigma, "sigma",
  455 |                                            stan::model::index_uni(1)),
  456 |                                          stan::math::log(
  457 |                                            stan::math::add(Xb,
  458 |                                              stan::math::multiply(Z, gamma)))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:112:20:   required from '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&) [with bool propto = false; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
  112 |     ytheta = signs * (ytheta_tmp + as_array_or_scalar(alpha_val_vec));
      |              ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7:   required from 'class Eigen::ArrayWrapper<const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >'
   42 | class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:114:42:   required from '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&) [with bool propto = false; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
  114 |     ytheta = (x_val * beta_val_vec).array();
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:141:41:   required from '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&) [with bool propto = false; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
  141 |                           .select(signs * T_partials_return(1.0),
      |                                   ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:142:41:   required from '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&) [with bool propto = false; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~^~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:142:56:   required from '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&) [with bool propto = false; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, Eigen::Array<double, -1, 1> > >, Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > >'
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:141:34:   required from '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&) [with bool propto = false; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
  140 |                       (ytheta < -cutoff)
      |                       ~~~~~~~~~~~~~~~~~~
  141 |                           .select(signs * T_partials_return(1.0),
      |                           ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_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/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Select<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::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -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::CwiseBinaryOp<Eigen::internal::scalar_quotient_op<double, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, int>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> >, const Eigen::ArrayWrapper<const Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > >, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, int>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<int>, const Eigen::Array<int, -1, 1> > > > > >'
   52 | class Select : public internal::dense_xpr_base< Select<ConditionMatrixType, ThenMatrixType, ElseMatrixType> >::type,
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:139:22:   required from '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&) [with bool propto = false; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<double, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = double]'
  138 |         = (ytheta > cutoff)
      |           ~~~~~~~~~~~~~~~~~
  139 |               .select(-exp_m_ytheta,
      |               ~~~~~~~^~~~~~~~~~~~~~~
  140 |                       (ytheta < -cutoff)
      |                       ~~~~~~~~~~~~~~~~~~
  141 |                           .select(signs * T_partials_return(1.0),
      |                           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  142 |                                   signs * exp_m_ytheta / (exp_m_ytheta + 1)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<Eigen::CwiseUnaryOp<apply_scalar_unary<inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >(const Eigen::CwiseUnaryOp<apply_scalar_unary<inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7:   required from 'class Eigen::CwiseUnaryOpImpl<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7:   required from 'class Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/log.hpp:66:50:   required from 'stan::math::log<Eigen::CwiseUnaryOp<apply_scalar_unary<inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >(const Eigen::CwiseUnaryOp<apply_scalar_unary<inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >&)::<lambda(const auto:169&)> [with auto:169 = Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >]'
   66 |       x, [](const auto& v) { return v.array().log(); });
      |                                     ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/functor/apply_vector_unary.hpp:53:76:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:77:38:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   77 |   T_partials_return logp = sum(n_val * log_inv_logit_alpha
      |                                ~~~~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:78:50:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   78 |                                + (N_val - n_val) * log_inv_logit_neg_alpha);
      |                                  ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:78:32:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   77 |   T_partials_return logp = sum(n_val * log_inv_logit_alpha
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   78 |                                + (N_val - n_val) * log_inv_logit_neg_alpha);
      |                                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:88:19:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   88 |           = n_val * inv_logit_neg_alpha - (N_val - n_val) * inv_logit_alpha;
      |             ~~~~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:88:59:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   88 |           = n_val * inv_logit_neg_alpha - (N_val - n_val) * inv_logit_alpha;
      |                                           ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<int, double>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<int, double>, const Eigen::CwiseBinaryOp<Eigen::internal::scalar_difference_op<int, int>, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:88:41:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   88 |           = n_val * inv_logit_neg_alpha - (N_val - n_val) * inv_logit_alpha;
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:92:17:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   92 |           sum_n * inv_logit_neg_alpha
      |           ~~~~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:94:17:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   93 |           - (sum(N_val) * maximum_size / math::size(N) - sum_n)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   94 |                 * inv_logit_alpha);
      |                 ^~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >, void>::apply(const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> >&)::<lambda(auto:3&&)>, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_opposite_op<double>, const Eigen::Array<double, -1, 1> > > >, 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::CwiseUnaryOp<stan::math::apply_scalar_unary<stan::math::inv_logit_fun, Eigen::Array<double, -1, 1>, void>::apply(const Eigen::Array<double, -1, 1>&)::<lambda(auto:3&&)>, const Eigen::Array<double, -1, 1> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:93:11:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = false; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = Eigen::CwiseBinaryOp<Eigen::internal::scalar_sum_op<double, double>, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, const Eigen::Product<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Matrix<double, -1, 1>, 0> >; 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_prob> = double]'
   92 |           sum_n * inv_logit_neg_alpha
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~
   93 |           - (sum(N_val) * maximum_size / math::size(N) - sum_n)
      |           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   94 |                 * inv_logit_alpha);
      |                 ~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  199 |                      * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1,
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::val_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/accumulator.hpp:135:0:   required from 'stan::math::var stan::math::accumulator<T, typename std::enable_if<stan::is_var<typename std::decay<_Tp>::type>::value, void>::type>::sum() const [with T = stan::math::var_value<double>; typename std::enable_if<stan::is_var<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = stan::math::var_value<double>; stan::math::var = stan::math::var_value<double>]'
  135 |   inline var sum() const { return stan::math::sum(buf_); }
stanExports_mcml.h:557:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  557 |     return lp_accum__.sum();
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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]'
  116 |         sybb(_res+resStride*i2 + resIncr*i2, resIncr, resStride, blockA, blockB + actual_kc*i2, actual_mc, actual_kc, alpha);
      |         ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; int UpLo = 2; typename MatrixType::Scalar = double]'
  109 |     internal::general_matrix_matrix_triangular_product<Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  110 |       Scalar, OtherIsRowMajor ? RowMajor : ColMajor,   OtherBlasTraits::NeedToConjugate  && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  111 |       Scalar, OtherIsRowMajor ? ColMajor : RowMajor, (!OtherBlasTraits::NeedToConjugate) && NumTraits<Scalar>::IsComplex,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  112 |       IsRowMajor ? RowMajor : ColMajor, MatrixType::InnerStrideAtCompileTime, UpLo>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  113 |       ::run(size, depth,
      |       ~~~~~^~~~~~~~~~~~~
  114 |             actualOther.data(), actualOther.outerStride(), actualOther.data(), actualOther.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  115 |             mat.data(), mat.innerStride(), mat.outerStride(), actualAlpha, blocking);
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>; unsigned int UpLo = 2; Scalar = double]'
  126 |   selfadjoint_product_selector<MatrixType,DerivedU,UpLo>::run(_expression().const_cast_derived(), u.derived(), alpha);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   33 |   return result.setZero().template selfadjointView<Eigen::Upper>().rankUpdate(
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
   34 |       M_ref);
      |       ~~~~~~                                                                  
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   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]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:453:45:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  453 |   RealScalar scale = mat.cwiseAbs().maxCoeff();
      |                      ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   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>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:93:22:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:37:44:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
      |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:74:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:60:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:35:23:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<var_value<double>, -1, 1> >(const char*, const char*, const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<var_value<double>, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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<var_value<double>, -1, 1>]'
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/std_normal_lpdf.hpp:37:0:   required from 'stan::return_type_t<T> stan::math::std_normal_lpdf(const T_y&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y>* <anonymous> = 0; stan::return_type_t<T> = var_value<double>]'
   37 |   check_not_nan(function, "Random variable", y_ref);
stanExports_mcml.h:350:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  350 |         lp_accum__.add(stan::math::std_normal_lpdf<propto__>(gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/operands_and_partials.hpp:67:0:   required from 'void stan::math::internal::update_adjoints(Matrix1&, const Matrix2&, const stan::math::var&) [with Matrix1 = stan::math::arena_matrix<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >; Matrix2 = stan::math::arena_matrix<Eigen::Matrix<double, -1, 1> >; stan::require_rev_matrix_t<T>* <anonymous> = 0; stan::require_st_arithmetic<Op>* <anonymous> = 0; stan::math::var = stan::math::var_value<double>]'
   67 |   x.adj().array() += z.adj() * y.array();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/functor/partials_propagator.hpp:91:0:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/std_normal_lpdf.hpp:64:0:   required from 'stan::return_type_t<T> stan::math::std_normal_lpdf(const T_y&) [with bool propto = true; T_y = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_not_nonscalar_prim_or_rev_kernel_expression_t<T_y>* <anonymous> = 0; stan::return_type_t<T> = var_value<double>]'
   64 |   return ops_partials.build(logp);
stanExports_mcml.h:350:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  350 |         lp_accum__.add(stan::math::std_normal_lpdf<propto__>(gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_finite<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(const char*, const char*, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(double)>; T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20:   required from 'void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   24 |   elementwise_check([](double x) { return x > 0 && std::isfinite(x); },
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |                     function, name, y, "positive finite");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:93:24:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
   93 |   check_positive_finite(function, "Scale vector", sigma_val_vec);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<var_value<double>, -1, 1> > >(const char*, const char*, const Eigen::CwiseUnaryOp<value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<var_value<double>, -1, 1> >&)::<lambda(double)>; T = Eigen::CwiseUnaryOp<value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<var_value<double>, -1, 1> >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_finite.hpp:29:20:   required from 'void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::CwiseUnaryOp<value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<var_value<double>, -1, 1> >]'
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:194:17:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  194 |     check_finite(function, "Weight vector", beta_val_vec);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >(const char*, const char*, const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >&)::<lambda(double)>; T = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:195:17:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  195 |     check_finite(function, "Intercept", alpha_val_vec);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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> >]'
   28 |   elementwise_check([](double x) { return !std::isnan(x); }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   29 |                     "not nan");
      |                     ~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:62:16:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   62 |   check_not_nan(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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>]'
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:63:15:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   63 |   check_finite(function, "Location parameter", mu_val);
      |   ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(double)>; T = Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
   29 |   elementwise_check([](double x) { return x > 0; }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     "positive");
      |                     ~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:64:17:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   64 |   check_positive(function, "Scale parameter", sigma_val);
      |   ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20:   required from 'void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Array<double, -1, 1>]'
   24 |   elementwise_check([](double x) { return x > 0 && std::isfinite(x); },
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |                     function, name, y, "positive finite");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:71:24:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   71 |   check_positive_finite(function, "First shape parameter", alpha_val);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Array<double, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_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<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_positive_finite.hpp:24:20:   required from 'void stan::math::check_positive_finite(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> >]'
   24 |   elementwise_check([](double x) { return x > 0 && std::isfinite(x); },
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   25 |                     function, name, y, "positive finite");
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:71:24:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
   71 |   check_positive_finite(function, "Random variable", y_val);
      |   ~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<var_value<double>, -1, 1> >(const char*, const char*, const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(double)>; T = Eigen::Matrix<var_value<double>, -1, 1>; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/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<var_value<double>, -1, 1>]'
   29 |   elementwise_check([](double x) { return std::isfinite(x); }, function, name,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   30 |                     y, "finite");
      |                     ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/bernoulli_logit_glm_lpmf.hpp:129:17:   required from '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&) [with bool propto = true; T_y = std::vector<int>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_x, T_alpha, T_beta> = var_value<double>]'
  129 |     check_finite(function, "Weight vector", beta);
      |     ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::Matrix<stan::math::var_value<double>, -1, 1> >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp: In instantiation of 'void stan::math::elementwise_check(const F&, const char*, const char*, const T&, const char*, const Indexings& ...) [with F = check_nonnegative<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >(const char*, const char*, const Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >&)::<lambda(double)>; T = Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >; Indexings = {}; stan::require_eigen_t<T>* <anonymous> = 0; std::enable_if_t<((bool)((Eigen::internal::traits<_Rhs>::Flags & Eigen::LinearAccessBit) || T::IsVectorAtCompileTime))>* <anonymous> = 0]':
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/check_nonnegative.hpp:26:20:   required from 'void stan::math::check_nonnegative(const char*, const char*, const T_y&) [with T_y = Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > >]'
   26 |   elementwise_check([](double x) { return x >= 0; }, function, name, y,
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   27 |                     "nonnegative");
      |                     ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/binomial_logit_lpmf.hpp:60:20:   required from 'stan::return_type_t<T_prob> stan::math::binomial_logit_lpmf(const T_n&, const T_N&, const T_prob&) [with bool propto = true; T_n = std::vector<int>; T_N = std::vector<int>; T_prob = 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_prob> = var_value<double>]'
   60 |   check_nonnegative(function, "Population size parameter", N_val);
      |   ~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:497:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  496 |                               lp_accum__.add(stan::math::binomial_logit_lpmf<
  497 |                                                propto__>(yint, n,
  498 |                                                stan::math::add(Xb,
  499 |                                                  stan::math::multiply(Z,
  500 |                                                    gamma))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/elementwise_check.hpp:153:24: warning: comparison of integer expressions of different signedness: 'size_t' {aka 'long long unsigned int'} and 'Eigen::EigenBase<Eigen::ArrayWrapper<Eigen::Map<const Eigen::Matrix<int, -1, 1>, 0, Eigen::Stride<0, 0> > > >::Index' {aka 'long long int'} [-Wsign-compare]
  153 |   for (size_t i = 0; i < x.size(); i++) {
      |                      ~~^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false> >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:114:1:   required from 'ResultType Eigen::internal::member_sum<ResultType, Scalar>::operator()(const XprType&) const [with XprType = Eigen::Block<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; ResultType = double; Scalar = double]'
   97 |     { return mat.MEMBER(); }                                                                \
      |              ~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PartialReduxEvaluator.h:183:21:   required from 'const Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::Scalar Eigen::internal::evaluator<Eigen::PartialReduxExpr<MatrixType, MemberOp, Direction> >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >; MemberOp = Eigen::internal::member_sum<double, double>; int Direction = 1; Scalar = double; Eigen::Index = long long int]'
  183 |     return m_functor(m_arg.template subVector<DirectionType(Direction)>(index));
      |            ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:268:34:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; Func = Eigen::internal::scalar_max_op<double, double, 0>; Evaluator = Eigen::internal::redux_evaluator<Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1> >; Scalar = double]'
  268 |         res = func(res,eval.coeff(index));
      |                        ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 0>; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:448:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with int NaNPropagation = 0; Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  448 |   return derived().redux(Eigen::internal::scalar_max_op<Scalar,Scalar, NaNPropagation>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:466:37:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::maxCoeff() const [with Derived = Eigen::PartialReduxExpr<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Matrix<double, -1, -1> >, Eigen::internal::member_sum<double, double>, 1>; typename Eigen::internal::traits<T>::Scalar = double]'
  466 |       return maxCoeff<PropagateFast>();
      |              ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/matrix_exp_action_handler.hpp:106:49:   required from here
  106 |     return x.cwiseAbs().rowwise().sum().maxCoeff();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   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]'
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:125:   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]'
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                                                                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:79:51:   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> > >'
   79 |     CoeffReadCost = internal::evaluator<XprType>::CoeffReadCost
      |                                                   ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:123:17:   required from 'void Eigen::DenseBase<Derived>::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor<Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >, 0>; Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Diagonal<Eigen::Matrix<double, -1, -1>, 0>, -1, 1, false> >]'
  123 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Visitor.h:374:14:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:325:54:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  325 |       mat.diagonal().tail(size-k).cwiseAbs().maxCoeff(&index_of_biggest_in_corner);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::Array<double, -1, 1>; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::Array<double, -1, 1> >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/operator_division.hpp:179:0:   required from 'auto stan::math::divide(Scalar, const Mat&) [with Scalar = int; Mat = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_matrix_t<Mat>* <anonymous> = 0; stan::require_stan_scalar_t<T>* <anonymous> = 0; stan::require_all_st_var_or_arithmetic<Scalar, Mat>* <anonymous> = 0; stan::require_any_st_var<Scalar, Mat>* <anonymous> = 0]'
  179 |       arena_c.adj() += (inv_times_res).sum();
stanExports_mcml.h:425:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > >; SrcXprType = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   required from 'Derived& Eigen::MatrixBase<Derived>::operator=(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; Derived = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
   66 |   internal::call_assignment(derived(), other.derived());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/standalone_gqs.hpp:72:0:   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_mcml_namespace::model_mcml; Eigen::MatrixXd = Eigen::Matrix<double, -1, -1>]'
   72 |     Eigen::Map<Eigen::VectorXd>(&row[0], draws.cols()) = draws.row(i);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1253:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::standalone_gqs(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1253 |     ret = stan::services::standalone_generate(model_, draws,
 1254 |             Rcpp::as<unsigned int>(seed), interrupt, logger, *sample_writer_ptr);
stanExports_mcml.cc:30:0:   required from here
   30 |     .method("standalone_gqs", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::standalone_gqs)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = 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>; OtherDerived = 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>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::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>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<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>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = 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>; Derived = Eigen::Matrix<double, -1, -1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 16, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 16, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 16, Eigen::Stride<0, 0> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 16, Eigen::Stride<0, 0> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 16, Eigen::Stride<0, 0> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48:   required from 'void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const false_type&) [with Dst = Eigen::Matrix<double, -1, -1>; Lhs = Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, 1> >; Func = generic_product_impl<Eigen::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >, Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::DenseShape, Eigen::DenseShape, 5>::set]'
  280 |     func(dst.col(j), rhsEval.coeff(Index(0),j) * actual_lhs);
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:317:41:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = 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>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:883:25:   required from 'void Eigen::PlainObjectBase<Derived>::_init1(const Eigen::DenseBase<ElseDerived>&) [with T = 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>; OtherDerived = 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>; Derived = Eigen::Matrix<double, -1, -1>]'
  883 |       this->_set_noalias(other);
      |       ~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::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>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, -1>; Src = Eigen::Product<Eigen::CwiseBinaryOp<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>; Func = add_assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   required from 'Derived& Eigen::MatrixBase<Derived>::operator+=(const Eigen::MatrixBase<OtherDerived>&) [with OtherDerived = 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>; Derived = Eigen::Matrix<double, -1, -1>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/welford_covar_estimator.hpp:28:39:   required from here
   28 |     m2_ += (q - m_) * delta.transpose();
      |                                       ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:333:
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:306:38:   required from '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>'
  306 |   typedef typename Traits::LhsPacket LhsPacket;
      |                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   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]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 1>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:310:42:   required from '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>'
  310 |   typedef typename HalfTraits::LhsPacket LhsPacketHalf;
      |                                          ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   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]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of 'class Eigen::internal::gemv_traits<double, double, 2>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:314:45:   required from '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>'
  314 |   typedef typename QuarterTraits::LhsPacket LhsPacketQuarter;
      |                                             ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:347:132:   required from 'static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Rhs = Eigen::Matrix<double, -1, 1>; Dest = Eigen::Matrix<double, -1, 1>; typename Dest::Scalar = double]'
  346 |     general_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                   
  347 |         <Index,LhsScalar,LhsMapper,RowMajor,LhsBlasTraits::NeedToConjugate,RhsScalar,RhsMapper,RhsBlasTraits::NeedToConjugate>::run(
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^
  348 |         actualLhs.rows(), actualLhs.cols(),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                         
  349 |         LhsMapper(actualLhs.data(), actualLhs.outerStride()),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                       
  350 |         RhsMapper(actualRhsPtr, 1),
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~                                                                                                 
  351 |         dest.data(), dest.col(0).innerStride(), //NOTE  if dest is not a vector at compile-time, then dest.innerStride() might be wrong. (bug 1166)
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  352 |         actualAlpha);
      |         ~~~~~~~~~~~~                                                                                                                
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   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]'
  385 |     internal::gemv_dense_selector<Side,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  386 |                             (int(MatrixType::Flags)&RowMajorBit) ? RowMajor : ColMajor,
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  387 |                             bool(internal::blas_traits<MatrixType>::HasUsableDirectAccess)
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  388 |                            >::run(actual_lhs, actual_rhs, dst, alpha);
      |                            ~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:44:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   44 |   PACKET_DECL_COND_PREFIX(_, Lhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:45:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   45 |   PACKET_DECL_COND_PREFIX(_, Rhs, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:46:27: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
   46 |   PACKET_DECL_COND_PREFIX(_, Res, _PacketSize);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:42:3: note: in definition of macro 'PACKET_DECL_COND_PREFIX'
   42 |   prefix ## name ## Packet
      |   ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   51 |         Vectorizable = unpacket_traits<_LhsPacket>::vectorizable &&
      |                                                     ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:51:53: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   52 |         unpacket_traits<_RhsPacket>::vectorizable &&
      |                                      ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:52:38: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                          ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:42: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   53 |         int(unpacket_traits<_LhsPacket>::size)==int(unpacket_traits<_RhsPacket>::size),
      |                                                                                  ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:53:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   54 |         LhsPacketSize = Vectorizable ? unpacket_traits<_LhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:54:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   55 |         RhsPacketSize = Vectorizable ? unpacket_traits<_RhsPacket>::size : 1,
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:55:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   56 |         ResPacketSize = Vectorizable ? unpacket_traits<_ResPacket>::size : 1
      |                                                                     ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:56:69: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   59 |   typedef typename conditional<Vectorizable,_LhsPacket,LhsScalar>::type LhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:59:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   60 |   typedef typename conditional<Vectorizable,_RhsPacket,RhsScalar>::type RhsPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:60:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
   61 |   typedef typename conditional<Vectorizable,_ResPacket,ResScalar>::type ResPacket;
      |                                                                         ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:61:73: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; SrcXprType = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Functor = Eigen::internal::assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Func = assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   required from 'void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, -1, false>; Src = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CommaInitializer.h:159:10:   required from 'Eigen::CommaInitializer<Derived> Eigen::DenseBase<Derived>::operator<<(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix<double, -1, 1>]'
  159 |   return CommaInitializer<Derived>(*static_cast<Derived *>(this), other);
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/append_row.hpp:102:10:   required from 'Eigen::Matrix<typename stan::return_type<T1, T2>::type, -1, 1> stan::math::append_row(const ColVec&, const Scal&) [with ColVec = Eigen::Map<const Eigen::Array<double, -1, 1>, 0, Eigen::Stride<0, 0> >; Scal = double; stan::require_t<stan::is_eigen_col_vector<T> >* <anonymous> = 0; stan::require_stan_scalar_t<V>* <anonymous> = 0; typename stan::return_type<T1, T2>::type = double]'
  102 |   result << A.template cast<T_return>(), B;
      |   ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:29:31:   required from 'T_return stan::math::internal::hypergeometric_3F2_infsum(const Ta&, const Tb&, const Tz&, double, int) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; T_return = double; ArrayAT = Eigen::Array<double, 3, 1>; ArrayBT = Eigen::Array<double, 3, 1>; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
   29 |   ArrayBT b_array = append_row(as_array_or_scalar(b), 1.0);
      |                     ~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:123:47:   required from 'auto stan::math::hypergeometric_3F2(const Ta&, const Tb&, const Tz&) [with Ta = std::vector<double>; Tb = std::vector<double>; Tz = double; stan::require_all_vector_t<T_y, T_high>* <anonymous> = 0; stan::require_stan_scalar_t<T2>* <anonymous> = 0]'
  123 |     return internal::hypergeometric_3F2_infsum(a, b, z);
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/fun/hypergeometric_3F2.hpp:148:28:   required from 'auto stan::math::hypergeometric_3F2(const std::initializer_list<_Tp>&, const std::initializer_list<_Value>&, const Tz&) [with Ta = double; Tb = double; Tz = double; stan::require_all_stan_scalar_t<Ta, Tb, Tz>* <anonymous> = 0]'
  148 |   return hypergeometric_3F2(std::vector<Ta>(a), std::vector<Tb>(b), z);
      |          ~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/inv_inc_beta.hpp:77:0:   required from here
   77 |             + log(hypergeometric_3F2({a_val, a_val, one_m_b}, {ap1, ap1}, w))
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_abs_op<double>, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  221 |     return m.cwiseAbs().sum();
      |            ~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
  269 |   return internal::lpNorm_selector<Derived, p>::run(*this);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:514:74:   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]'
  514 |       abs_col_sum = m_matrix.col(col).tail(size - col).template lpNorm<1>() + m_matrix.row(col).head(col).template lpNorm<1>();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:359:56:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  359 |         mat.coeffRef(k,k) -= (A10 * temp.head(k)).value();
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Matrix<double, -1, 1>, const Eigen::Matrix<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:199:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  199 |                      * CubicInterp(_gk_1.dot(_pk_1), _alphak_1, _fk - _fk_1,
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_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::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; 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> >; Scalar = double]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; 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> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const 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::Matrix<double, -1, -1> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; 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> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; 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> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; stan::value_type_t<T> = double]'
   47 |   return m.sum();
      |          ~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:180:30:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  180 |         y_scaled_sq_sum = sum(y_scaled * y_scaled);
      |                           ~~~^~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase<Derived>&) [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::MatrixWrapper<const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]'
   47 |   return m.sum();
      |          ~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:207:18:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  207 |       logp -= sum(log(sigma_val_vec));
      |               ~~~^~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   required from 'typename Eigen::internal::traits<T>::Scalar Eigen::DenseBase<Derived>::sum() const [with Derived = Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::ArrayWrapper<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> > > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]'
   47 |   return m.sum();
      |          ~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_lpdf.hpp:87:16:   required from 'stan::return_type_t<T, L, U> 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::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; 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, L, U> = var_value<double>]'
   87 |     logp -= sum(log(sigma_val)) * N / math::size(sigma);
      |             ~~~^~~~~~~~~~~~~~~~
stanExports_mcml.h:360:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  360 |             lp_accum__.add(stan::math::normal_lpdf<propto__>(
  361 |                              stan::math::to_vector(stan::math::log(ycont)),
  362 |                              stan::math::add(Xb,
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<scalar_difference_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> > >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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::Array<double, -1, 1> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<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::Array<double, -1, 1> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::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::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]'
   47 |   return m.sum();
      |          ~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/beta_lpdf.hpp:90:16:   required from 'stan::return_type_t<T, L, U> stan::math::beta_lpdf(const T_y&, const T_scale_succ&, const T_scale_fail&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_scale_succ = Eigen::Matrix<var_value<double>, -1, 1>; T_scale_fail = 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, L, U> = var_value<double>]'
   90 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(y, alpha);
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:409:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  409 |               lp_accum__.add(stan::math::beta_lpdf<propto__>(
  410 |                                stan::math::to_vector(ycont),
  411 |                                stan::math::multiply(logitmu,
  412 |                                  stan::model::rvalue(sigma, "sigma",
  413 |                                    stan::model::index_uni(1))),
  414 |                                stan::math::multiply(logitmu1,
  415 |                                  stan::model::rvalue(sigma, "sigma",
  416 |                                    stan::model::index_uni(1)))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<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::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::CwiseUnaryOp<Eigen::internal::scalar_log_op<double>, const Eigen::Array<double, -1, 1> > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]'
   47 |   return m.sum();
      |          ~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:100:16:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  100 |     logp += sum(alpha_val * log_beta) * N / max_size(alpha, beta);
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<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> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Array<double, -1, 1> >, const Eigen::Array<double, -1, 1> >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]'
   47 |   return m.sum();
      |          ~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:106:16:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  106 |     logp += sum((alpha_val - 1.0) * log_y) * N / max_size(alpha, y);
      |             ~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Array<double, -1, 1>, const Eigen::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::ArrayWrapper<const Eigen::Matrix<double, -1, 1> > >; stan::require_eigen_vt<std::is_arithmetic, T>* <anonymous> = 0; stan::value_type_t<T> = double]'
   47 |   return m.sum();
      |          ~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/gamma_lpdf.hpp:109:16:   required from 'stan::return_type_t<T, L, U> stan::math::gamma_lpdf(const T_y&, const T_shape&, const T_inv_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_shape = double; T_inv_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, L, U> = var_value<double>]'
  109 |     logp -= sum(beta_val * y_val) * N / max_size(beta, y);
      |             ~~~^~~~~~~~~~~~~~~~~~
stanExports_mcml.h:421:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  421 |                 lp_accum__.add(stan::math::gamma_lpdf<propto__>(
  422 |                                  stan::math::to_vector(ycont), (1 /
  423 |                                  stan::model::rvalue(sigma, "sigma",
  424 |                                    stan::model::index_uni(1))),
  425 |                                  stan::math::divide(1,
  426 |                                    stan::math::multiply(
  427 |                                      stan::model::rvalue(sigma, "sigma",
  428 |                                        stan::model::index_uni(1)),
  429 |                                      stan::math::add(Xb,
  430 |                                        stan::math::multiply(Z, gamma))))));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:166:45:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:86:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  372 |     hCoeffs.tail(n-i-1) += (conj(h)*RealScalar(-0.5)*(hCoeffs.tail(remainingSize).dot(matA.col(i).tail(remainingSize)))) * matA.col(i).tail(n-i-1);
      |                                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:72:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, 1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, 1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:469:55:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 3>::eval_dynamic_impl(Dst&, const LhsT&, const RhsT&, const Func&, const Scalar&, Eigen::internal::true_type) [with Dst = Eigen::Matrix<double, -1, -1>; LhsT = Eigen::Matrix<double, -1, -1>; RhsT = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Func = Eigen::internal::assign_op<double, double>; Scalar = 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> >]'
  469 |     call_restricted_packet_assignment_no_alias(dst, s * lhs.lazyProduct(rhs), func);
      |                                                     ~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:446:22:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:125:66:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  125 |         = forward_as<T_y_scaled_tmp>((x_val * beta_val_vec).coeff(0, 0));
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:125:66:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  125 |         = forward_as<T_y_scaled_tmp>((x_val * beta_val_vec).coeff(0, 0));
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:78:71:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:375:18:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  374 |     matA.bottomRightCorner(remainingSize, remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  375 |       .rankUpdate(matA.col(i).tail(remainingSize), hCoeffs.tail(remainingSize), Scalar(-1));
      |       ~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:40:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<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]'
  296 |           dest.matrix() += actualAlpha * MappedDest(actualDestPtr, dest.size());
      |                            ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const 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::Matrix<double, -1, -1> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block<const Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false>; int StorageOrder = 1; bool BlasCompatible = true; typename Dest::Scalar = double]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:127:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  127 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:149:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/concept_check.hpp:31:
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/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>)>'
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_concepts.hpp:106:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/BH/include/boost/iterator/iterator_concepts.hpp:106:7:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:149:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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/4.6/BH/include/boost/range/concepts.hpp:138:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:149:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:149:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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>'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/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>)>'
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:154:13:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/BH/include/boost/range/concepts.hpp:154:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >)>'
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:280:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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/4.6/BH/include/boost/range/concepts.hpp:160:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >)>'
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:280:9:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/BH/include/boost/range/concepts.hpp:280:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >)>'
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/BH/include/boost/range/concepts.hpp:160:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  160 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/range/concepts.hpp:286:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >)>'
   72 | struct requirement_<void(*)(Model)>
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/algorithm/equal.hpp:174:13:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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> > >]'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/iterator_range_core.hpp:647:32:   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> >]'
  647 |             return boost::equal( l, r );
      |                    ~~~~~~~~~~~~^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/find_iterator.hpp:359:0:   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> >]'
  359 |                         m_Match==Other.m_Match &&
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:518:24:   required from 'static bool boost::iterators::iterator_core_access::equal(const Facade1&, const Facade2&, std::true_type) [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> > >; std::true_type = std::true_type]'
  518 |         return f1.equal(f2);
      |                ~~~~~~~~^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:823:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::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, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_adaptor.hpp:166:27:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/BH/include/boost/range/concepts.hpp:286:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  286 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   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> > >]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Assign.h:66:28:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:363:59:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  363 |     matA.col(i).tail(remainingSize).makeHouseholderInPlace(h, beta);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:337:
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   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]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   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]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   62 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs,  IsRowMajor), ConjugateRhs> pcj0;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:62:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   63 |   conj_helper<Packet,Packet,NumTraits<Scalar>::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1;
      |                                                                                                                         ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:63:121: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Matrix<double, -1, -1> >, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, false>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:81:75:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
   81 |   gemm_pack_rhs<RhsScalar, Index, RhsMapper, Traits::nr, RhsStorageOrder> pack_rhs;
      |                                                                           ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; 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> >; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; 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> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:45:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:125:66:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  125 |         = forward_as<T_y_scaled_tmp>((x_val * beta_val_vec).coeff(0, 0));
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:125:66:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  125 |         = forward_as<T_y_scaled_tmp>((x_val * beta_val_vec).coeff(0, 0));
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; int ProductTag = 8; 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, -1, -1>; 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, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >]'
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept_check.hpp:167:5:   required from 'struct boost::CopyConstructible<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:127:16:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  127 |         struct IncrementableIteratorConcept : CopyConstructible<Iterator>
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:149:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/has_constraints.hpp:42:5:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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> >]'
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept_check.hpp:208:5:   required from 'struct boost::Convertible<boost::iterators::random_access_traversal_tag, boost::iterators::incrementable_traversal_tag>'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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> > > >]'
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:138:13:   required from 'struct boost::range_detail::IncrementableIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:149:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/range/concepts.hpp:138:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  138 |             BOOST_CONCEPT_USAGE(IncrementableIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >]'
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept_check.hpp:233:5:   required from 'struct boost::EqualityComparable<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:149:16:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
  149 |         struct SinglePassIteratorConcept
      |                ^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/has_constraints.hpp:45:51:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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> >]'
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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/4.6/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/4.6/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> > > >]'
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:160:13:   required from 'struct boost::range_detail::SinglePassIteratorConcept<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/range/concepts.hpp:160:13: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  160 |             BOOST_CONCEPT_USAGE(SinglePassIteratorConcept)
      |             ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >]'
   50 |     static void failed() { ((Model*)0)->~Model(); }
      |                            ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/range/concepts.hpp:286:9:   required from 'struct boost::SinglePassRangeConcept<const boost::iterator_range<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > > >'
   92 |     &::boost::concepts::requirement_<ModelFnPtr>::failed>    \
      |     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >]'
   32 |   inline yes has_constraints_(Model*, wrap_constraints<Model,&Model::constraints>* = 0);
      |                                                              ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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'
   44 |       , value = sizeof( detail::has_constraints_((Model*)0) ) == sizeof(detail::yes) );
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   45 |     typedef boost::integral_constant<bool, value> type;
      |                                                   ^~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/detail/general.hpp:72:8:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/iterator/iterator_facade.hpp:824:1:   required from 'typename boost::iterators::detail::enable_if_interoperable<Derived1, Derived2, boost::iterators::detail::always_bool_t<Derived1, Derived2> >::type boost::iterators::operator!=(const iterator_facade<Derived1, V1, TC1, Reference1, Difference1>&, const iterator_facade<Derived2, V2, TC2, Reference2, Difference2>&) [with Derived1 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V1 = std::__cxx11::basic_string<char>; TC1 = forward_traversal_tag; Reference1 = std::__cxx11::basic_string<char>; Difference1 = long long int; Derived2 = transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; V2 = std::__cxx11::basic_string<char>; TC2 = forward_traversal_tag; Reference2 = std::__cxx11::basic_string<char>; Difference2 = long long int; typename detail::enable_if_interoperable<Derived1, Derived2, detail::always_bool_t<Derived1, Derived2> >::type = bool; detail::always_bool_t<Derived1, Derived2> = bool]'
  808 |         return_prefix iterator_core_access::base_op(                                           \
      |                       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  809 |             *static_cast< Derived1 const* >(&lhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  810 |             *static_cast< Derived2 const* >(&rhs),                                             \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  811 |             std::integral_constant< bool, std::is_convertible< Derived2, Derived1 >::value >() \
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  812 |         );                                                                                     \
      |         ~                                           
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:1686:21:   required from 'void std::vector<_Tp, _Alloc>::_M_range_initialize(_InputIterator, _InputIterator, std::input_iterator_tag) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >]'
 1686 |             for (; __first != __last; ++__first)
      |                    ~~~~~~~~^~~~~~~~~
D:/rtools45/x86_64-w64-mingw32.static.posix/lib/gcc/x86_64-w64-mingw32.static.posix/14.3.0/include/c++/bits/stl_vector.h:724:23:   required from 'std::vector<_Tp, _Alloc>::vector(_InputIterator, _InputIterator, const allocator_type&) [with _InputIterator = boost::iterators::transform_iterator<boost::algorithm::detail::copy_iterator_rangeF<std::__cxx11::basic_string<char>, __gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::algorithm::split_iterator<__gnu_cxx::__normal_iterator<char*, std::__cxx11::basic_string<char> > >, boost::use_default, boost::use_default>; <template-parameter-2-2> = void; _Tp = std::__cxx11::basic_string<char>; _Alloc = std::allocator<std::__cxx11::basic_string<char> >; allocator_type = std::allocator<std::__cxx11::basic_string<char> >]'
  724 |           _M_range_initialize(__first, __last,
      |           ~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~
  725 |                               std::__iterator_category(__first));
      |                               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/iter_find.hpp:186:0:   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> >]'
  186 |             SequenceSequenceT Tmp(itBegin, itEnd);
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/algorithm/string/split.hpp:158:0:   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>]'
  158 |             return ::boost::algorithm::iter_split(
  159 |                 Result,
  160 |                 Input,
  161 |                 ::boost::algorithm::token_finder( Pred, eCompress ) );
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/io/stan_csv_reader.hpp:19:0:   required from here
   19 |     boost::split(parts, variable, boost::is_any_of(":"));
D:/RCompile/CRANpkg/lib/4.6/BH/include/boost/concept/usage.hpp:20:48: warning: 'this' pointer is null [-Wnonnull]
   20 |     ~usage_requirements() { ((Model*)0)->~Model(); }
      |                             ~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/BH/include/boost/range/concepts.hpp:286:9: note: in expansion of macro 'BOOST_CONCEPT_USAGE'
  286 |         BOOST_CONCEPT_USAGE(SinglePassRangeConcept)
      |         ^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
In file included from D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/Core:166:
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:89:68:   required from '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]'
   89 |     Index alignedStart = (starti) + internal::first_default_aligned(&res[starti], endi-starti);
      |                                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:229:7:   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]'
  227 |     internal::selfadjoint_matrix_vector_product<Scalar, Index, (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  228 |                                                 int(LhsUpLo), bool(LhsBlasTraits::NeedToConjugate), bool(RhsBlasTraits::NeedToConjugate)>::run
      |                                                 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  229 |       (
      |       ^
  230 |         lhs.rows(),                             // size
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |         &lhs.coeffRef(0,0),  lhs.outerStride(), // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |         actualRhsPtr,                           // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |         actualDestPtr,                          // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |         actualAlpha                             // scale factor
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  235 |       );
      |       ~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:805:109:   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]'
  805 |     selfadjoint_product_impl<typename Lhs::MatrixType,Lhs::Mode,false,Rhs,0,Rhs::IsVectorAtCompileTime>::run(dst, lhs.nestedExpression(), rhs, alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:369:35:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  369 |     hCoeffs.tail(n-i-1).noalias() = (matA.bottomRightCorner(remainingSize,remainingSize).template selfadjointView<Lower>()
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  370 |                                   * (conj(h) * matA.col(i).tail(remainingSize)));
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:31:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  449 |     tridiagonalization_inplace(mat, hCoeffs);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/Memory.h:500:60: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  500 |   return first_aligned<unpacket_traits<DefaultPacketType>::alignment>(array, size);
      |                                                            ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:27:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:169:25:   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]'
  169 |     this->col(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:304:43:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:53:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:170:34:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:131:25:   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]'
  131 |     this->row(0) -= tau * tmp;
      |                     ~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:29:   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]'
  132 |     bottom.noalias() -= tau * essential * tmp;
      |                         ~~~~^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:307:42:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:132:41:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   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>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:22:0:   required from here
   22 |   vector_d eigenprojections = eigenvectors.transpose() * g;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<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]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   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>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   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>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:26:0:   required from here
   26 |   g = eigenvectors * eigenprojections;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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/4.6/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::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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:332:31:   required from 'Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product<Eigen::Matrix<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]'
  332 |       Base::template _init1<T>(x);
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:850:41:   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::Matrix<double, -1, 1>; Src = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, 1>, 0>; Func = assign_op<double, double>; typename enable_if<evaluator_assume_aliasing<Src>::value, void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  850 |   typename plain_matrix_type<Src>::type tmp(src);
      |                                         ^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:18:   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>]'
  836 |   call_assignment(dst, src, internal::assign_op<typename Dst::Scalar,typename Src::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:779:32:   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>]'
  779 |       internal::call_assignment(this->derived(), other.derived());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  225 |       return Base::_set(other);
      |              ~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:26:0:   required from here
   26 |   g = eigenvectors * eigenprojections;
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 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 Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = false]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:184:17:   required from 'static void Eigen::internal::general_matrix_matrix_product<Index, LhsScalar, LhsStorageOrder, ConjugateLhs, RhsScalar, RhsStorageOrder, ConjugateRhs, 0, ResInnerStride>::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, Index, ResScalar, Eigen::internal::level3_blocking<LhsScalar, RhsScalar>&, Eigen::internal::GemmParallelInfo<Index>*) [with Index = long long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int ResInnerStride = 1; ResScalar = double]'
  184 |         pack_lhs(blockA, lhs.getSubMapper(i2,k2), actual_kc, actual_mc);
      |         ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:230:14:   required from 'void Eigen::internal::gemm_functor<Scalar, Index, Gemm, Lhs, Rhs, Dest, BlockingType>::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo<Index>*) const [with Scalar = double; Index = long long int; Gemm = Eigen::internal::general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>; Lhs = Eigen::Matrix<double, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >; Dest = Eigen::Matrix<double, -1, -1>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]'
  230 |     Gemm::run(rows, cols, m_lhs.cols(),
      |     ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
  231 |               &m_lhs.coeffRef(row,0), m_lhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  232 |               &m_rhs.coeffRef(0,col), m_rhs.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  233 |               (Scalar*)&(m_dest.coeffRef(row,col)), m_dest.innerStride(), m_dest.outerStride(),
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  234 |               m_actualAlpha, m_blocking, info);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:114:7:   required from 'void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = gemm_functor<double, long long int, general_matrix_matrix_product<long long int, double, 0, false, double, 1, false, 0, 1>, Eigen::Matrix<double, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Matrix<double, -1, -1>, gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long long int]'
  114 |   func(0,rows, 0,cols);
      |   ~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:509:9:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1>; 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> >; Scalar = double]'
  508 |     internal::parallelize_gemm<(Dest::MaxRowsAtCompileTime>32 || Dest::MaxRowsAtCompileTime==Dynamic)>
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  509 |         (GemmFunctor(lhs, rhs, dst, actualAlpha, blocking), a_lhs.rows(), a_rhs.cols(), a_lhs.cols(), Dest::Flags&RowMajorBit);
      |         ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1>; 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> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   94 | class CwiseUnaryOpImpl
      |       ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   55 | class CwiseUnaryOp : public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>, internal::no_assignment_operator
      |       ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   98 |   return numext::real((*this).cwiseAbs2().sum());
      |                       ~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:328:36:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >::adj_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/4.6/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> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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]'
  346 |           pack_rhs_panel(blockB+j2*actual_kc,
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
  347 |                          rhs.getSubMapper(actual_k2+panelOffset, actual_j2),
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  348 |                          panelLength, actualPanelWidth,
      |                          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  349 |                          actual_kc, panelOffset);
      |                          ~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>; int ProductTag = 8; Scalar = double]'
  783 |     triangular_product_impl<Rhs::Mode,false,Lhs,Lhs::RowsAtCompileTime==1, typename Rhs::MatrixType, false>::run(dst, lhs, rhs.nestedExpression(), alpha);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Scalar = double]'
  361 |   { Derived::scaleAndAddTo(dst,lhs,rhs,alpha); }
      |     ~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>]'
  349 |   { dst.setZero(); scaleAndAddTo(dst, lhs, rhs, Scalar(1)); }
      |                    ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2459:62: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2459 |           PacketBlock<Packet,(PacketSize%4)==0?4:PacketSize> kernel;
      |                                                              ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, 6>, Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:99:96:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 2>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:101:66:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:102:66:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::TriangularView<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 5>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:103:22:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, 1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:361:25:   required from 'static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix<double, -1, -1>; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix<double, -1, 1>]'
  361 |           A21.noalias() -= A20 * temp.head(k);
      |           ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:526:51:   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]'
  526 |   m_info = internal::ldlt_inplace<UpLo>::unblocked(m_matrix, m_transpositions, m_temporary, m_sign) ? Success : NumericalIssue;
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:120:14:   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]'
  120 |       compute(matrix.derived());
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:683:10:   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>]'
  683 |   return LDLT<PlainObject>(derived());
      |          ^~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/err/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_matrix_t<T>* <anonymous> = 0]'
   45 |   Eigen::LDLT<Eigen::MatrixXd> cholesky = value_of_rec(y_ref).ldlt();
      |                                           ~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:21:0:   required from here
   21 |     stan::math::check_pos_definite("check_pos_definite", "inv_metric",
   22 |                                    inv_metric);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const 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::Matrix<double, -1, -1> >, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<Eigen::internal::scalar_constant_op<double>, const Eigen::Matrix<double, -1, -1> >, const Eigen::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const 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::Matrix<double, -1, -1> >, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'struct Eigen::internal::gemm_pack_rhs<double, long long int, Eigen::internal::const_blas_data_mapper<double, long long int, 1>, 4, 1, false, true>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:233:85:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  233 |     gemm_pack_rhs<Scalar, Index, RhsMapper, Traits::nr, RhsStorageOrder,false,true> pack_rhs_panel;
      |                                                                                     ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2504:50: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2504 |   typedef typename unpacket_traits<Packet>::half HalfPacket;
      |                                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2505 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2505:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2508 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2508:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 2509 |                  QuarterPacketSize = unpacket_traits<QuarterPacket>::size};
      |                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2509:70: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:125:66:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  125 |         = forward_as<T_y_scaled_tmp>((x_val * beta_val_vec).coeff(0, 0));
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::CwiseUnaryOp<stan::math::value_of<const Eigen::Matrix<var_value<double>, -1, 1>&>(const Eigen::Matrix<var_value<double>, -1, 1>&)::<lambda(auto:11&)>::<lambda(const auto:12&)>, const Eigen::Matrix<stan::math::var_value<double>, -1, 1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:125:66:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  125 |         = forward_as<T_y_scaled_tmp>((x_val * beta_val_vec).coeff(0, 0));
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 4, 4>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:90:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                             ~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 5>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:64:57:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:73:50:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   73 |           triFactor.row(i).tail(nbVecs-j-1) += z * triFactor.row(j).tail(nbVecs-j-1);
      |                                                ~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Matrix<double, -1, 1> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Transpose<Eigen::Matrix<double, -1, 1> > >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:113:15:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45:   required from 'struct Eigen::internal::generic_product_impl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, Eigen::DenseShape, Eigen::DenseShape, 7>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:486:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >; Scalar = double]'
  485 |       return internal::generic_product_impl<typename Lhs::ConstRowXpr,Rhs,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  486 |         ::scaleAndAddTo(dst_vec, a_lhs.row(0), a_rhs, alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Lhs = Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>; Rhs = Eigen::Transpose<Eigen::Matrix<double, -1, -1> >]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:564:45:   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>'
  564 |     CoeffReadCost = int(evaluator<ArgType>::CoeffReadCost) + int(functor_traits<UnaryOp>::Cost),
      |                                             ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   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>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  369 |   typedef typename nested_eval<Lhs,1>::type LhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  178 |     generic_product_impl<Lhs, Rhs>::subTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:59:31:   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]'
   59 |       call_assignment_no_alias(m_expression, other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:332:38:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of 'void Eigen::internal::gemm_pack_lhs<Scalar, Index, DataMapper, Pack1, Pack2, Packet, 0, Conjugate, PanelMode>::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long long int; DataMapper = Eigen::internal::blas_data_mapper<double, long long int, 0, 0, 1>; int Pack1 = 4; int Pack2 = 2; Packet = __vector(2) double; bool Conjugate = false; bool PanelMode = true]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:319:27:   required from 'static void Eigen::internal::triangular_solve_matrix<Scalar, Index, 2, Mode, Conjugate, TriStorageOrder, 0, OtherInnerStride>::run(Index, Index, const Scalar*, Index, Scalar*, Index, Index, Eigen::internal::level3_blocking<Scalar, Scalar>&) [with Scalar = double; Index = long long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 1; int OtherInnerStride = 1]'
  319 |             pack_lhs_panel(blockA, lhs.getSubMapper(i2,absolute_j2),
      |             ~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  320 |                            actualPanelWidth, actual_mc,
      |                            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  321 |                            actual_kc, j2);
      |                            ~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Side = 2; int Mode = 2]'
  100 |     triangular_solve_matrix<Scalar,Index,Side,Mode,LhsProductTraits::NeedToConjugate,(int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  101 |                                (Rhs::Flags&RowMajorBit) ? RowMajor : ColMajor, Rhs::InnerStrideAtCompileTime>
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  102 |       ::run(size, othersize, &actualLhs.coeffRef(0,0), actualLhs.outerStride(), &rhs.coeffRef(0,0), rhs.innerStride(), rhs.outerStride(), blocking);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   required from 'void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase<OtherDerived>&) const [with int Side = 2; OtherDerived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; _MatrixType = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; unsigned int _Mode = 2]'
  181 |   internal::triangular_solver_selector<MatrixType, typename internal::remove_reference<OtherCopy>::type,
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  182 |     Side, Mode>::run(derived().nestedExpression(), otherCopy);
      |     ~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:364:96:   required from 'static Eigen::Index Eigen::internal::llt_inplace<Scalar, 1>::blocked(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>; Scalar = double; Eigen::Index = long long int]'
  364 |       if(rs>0) A11.adjoint().template triangularView<Upper>().template solveInPlace<OnTheRight>(A21);
      |                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:408:68:   required from 'static bool Eigen::internal::LLT_Traits<MatrixType, 1>::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix<double, -1, -1>]'
  408 |   { return llt_inplace<typename MatrixType::Scalar, Lower>::blocked(m)==-1; }
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:456:42:   [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2100:82: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2100 |   typedef typename unpacket_traits<typename unpacket_traits<Packet>::half>::half QuarterPacket;
      |                                                                                  ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2102:56: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2102 |          HalfPacketSize = unpacket_traits<HalfPacket>::size,
      |                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
 2103 |          QuarterPacketSize = unpacket_traits<QuarterPacket>::size,
      |                                                              ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:2103:62: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const 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> > >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 64>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57:   required from 'struct Eigen::internal::traits<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   22 |   typedef typename find_best_packet<_Scalar,size>::type PacketScalar;
      |                                                         ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   required from 'class Eigen::Matrix<double, 8, 8, 0, 8, 8>'
  178 | class Matrix
      |       ^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  150 |     Matrix<Scalar,SmallPanelWidth,SmallPanelWidth,LhsStorageOrder> triangularBuffer(a);
      |                                                                    ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 0, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of 'struct Eigen::internal::find_best_packet<double, 8>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:179:81:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0> >'
  179 |     typedef typename internal::find_best_packet<Scalar,SizeAtCompileTime>::type PacketScalar;
      |                                                                                 ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  153 |       triangularBuffer.diagonal().setZero();
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >; typename Dest::Scalar = double]'
  438 |     internal::product_triangular_matrix_matrix<Scalar, Index,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  439 |       Mode, LhsIsTriangular,
      |       ~~~~~~~~~~~~~~~~~~~~~~
  440 |       (internal::traits<ActualLhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, LhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  441 |       (internal::traits<ActualRhsTypeCleaned>::Flags&RowMajorBit) ? RowMajor : ColMajor, RhsBlasTraits::NeedToConjugate,
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  442 |       (internal::traits<Dest          >::Flags&RowMajorBit) ? RowMajor : ColMajor, Dest::InnerStrideAtCompileTime>
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  443 |       ::run(
      |       ~~~~~^
  444 |         stripedRows, stripedCols, stripedDepth,   // sizes
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  445 |         &lhs.coeffRef(0,0), lhs.outerStride(),    // lhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  446 |         &rhs.coeffRef(0,0), rhs.outerStride(),    // rhs info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  447 |         &dst.coeffRef(0,0), dst.innerStride(), dst.outerStride(),    // result info
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  448 |         actualAlpha, blocking
      |         ~~~~~~~~~~~~~~~~~~~~~
  449 |       );
      |       ~     
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:44: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                                       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  190 |          bool Stop = Size==Dynamic || (Size%unpacket_traits<PacketType>::size)==0 || is_same<PacketType,typename unpacket_traits<PacketType>::half>::value>
      |                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:190:83: warning: ignoring attributes on template argument 'Eigen::internal::unpacket_traits<__vector(2) double>::half' {aka '__m128d'} [-Wignored-attributes]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:208:88: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  208 |   typedef typename find_best_packet_helper<Size,typename packet_traits<T>::type>::type type;
      |                                                                                        ^~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  148 |     generic_product_impl<Lhs, Rhs>::evalTo(dst, src.lhs(), src.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/NoAlias.h:43:31:   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]'
   43 |       call_assignment_no_alias(m_expression, other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:167:19:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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<const Eigen::Matrix<double, -1, -1> >; int ProductTag = 8; 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>; 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> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:769:69:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1> >, 1>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, -1, -1, 1, -1, -1>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:444:18:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:70:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   57 |     arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 4, 4, 1, 4, 4> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 4, 4, 1, 4, 4>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:75:   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, -1, -1>; Rhs = Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; int ProductTag = 8; 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, -1, -1>; 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, -1, -1> >; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 1> >; Functor = Eigen::internal::assign_op<double, double>; int Version = 1; Eigen::Index = long long int]'
  654 |     m_functor.assignCoeff(m_dst.coeffRef(row,col), m_src.coeff(row,col));
      |                                                    ~~~~~~~~~~~^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:668:16:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:797:41:   required from 'Derived& Eigen::PlainObjectBase<Derived>::_set_noalias(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  797 |       internal::call_assignment_no_alias(this->derived(), other.derived(), internal::assign_op<Scalar,typename OtherDerived::Scalar>());
      |       ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   required from 'Eigen::PlainObjectBase<Derived>::PlainObjectBase(const Eigen::DenseBase<OtherDerived>&) [with OtherDerived = Eigen::Product<Eigen::Matrix<double, -1, -1, 1, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; Derived = Eigen::Matrix<double, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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, -1, -1>, Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   29 |     return M_ref * M_ref.transpose();
      |            ~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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>, 0, Eigen::Stride<0, 0> > >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, -1, -1> >, const Eigen::Block<const Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, -1, -1, false> >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:856:103:   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>, 0, Eigen::Stride<0, 0> >; 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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Functor = Eigen::internal::add_assign_op<double, double>]'
  856 |     call_triangular_assignment_loop<SrcXprType::Mode, (int(SrcXprType::Mode) & int(SelfAdjoint)) == 0>(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; Src = Eigen::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::TriangularView<const Eigen::Product<Eigen::CwiseBinaryOp<scalar_sum_op<double, double>, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/EigenBase.h:145:18:   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>, 0, Eigen::Stride<0, 0> > >, const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, 0>, 1>; Derived = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >]'
  145 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:31:0:   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]'
   31 |     arena_L.adj() += ((res.adj().transpose() + res.adj())
   32 |                       * arena_L_val.template triangularView<Eigen::Lower>())
   33 |                          .template triangularView<Eigen::Lower>();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:142:7:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::coeff(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
  142 |       EIGEN_STATIC_ASSERT(internal::evaluator<Derived>::Flags & LinearAccessBit,
      |                                                         ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:182:19:   required from 'Eigen::DenseCoeffsBase<Derived, 0>::CoeffReturnType Eigen::DenseCoeffsBase<Derived, 0>::operator()(Eigen::Index) const [with Derived = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, false>; CoeffReturnType = double; Eigen::Index = long long int]'
  182 |       return coeff(index);
      |              ~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:53:   required from 'void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix<double, -1, -1, 1, -1, -1>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   63 |       triFactor.row(i).tail(rt).noalias() = -hCoeffs(i) * vectors.col(i).tail(rs).adjoint()
      |                                              ~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:55:   required from 'void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; VectorsType = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; CoeffsType = Eigen::VectorBlock<const Eigen::Matrix<double, -1, 1>, -1>]'
   92 |   if(forward) make_block_householder_triangular_factor(T, vectors, hCoeffs);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:399:46:   required from 'void Eigen::HouseholderSequence<VectorsType, CoeffsType, Side>::applyThisOnTheLeft(Dest&, Workspace&, bool) const [with Dest = Eigen::Matrix<double, -1, -1>; Workspace = Eigen::Matrix<double, -1, 1>; VectorsType = Eigen::Matrix<double, -1, -1>; CoeffsType = Eigen::Matrix<double, -1, 1>; int Side = 1]'
  399 |           apply_block_householder_on_the_left(sub_dst, sub_vecs, m_coeffs.segment(k, bs), !m_reverse);
      |           ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:320:29:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Matrix<double, 1, -1> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   41 |   internal::call_assignment(this->derived(), PlainObject::Constant(rows(),cols(),other), internal::div_assign_op<Scalar,Scalar>());
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Cholesky/LLT.h:333:21:   [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Map.h:94:79:   required from 'class Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >'
   94 | template<typename PlainObjectType, int MapOptions, typename StrideType> class Map
      |                                                                               ^~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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/4.6/RcppEigen/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, -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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12:   [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Matrix<double, 1, -1> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Matrix<double, 1, -1>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:164:35:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  164 |         partials<3>(ops_partials) = mu_derivative.transpose() * x_val;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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> > >::adj_Op, Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, 1>, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const 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> > >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:44:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   44 |             arena_B.adj() += arena_A_val.transpose() * res.adj_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:52:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:366:43:   required from 'static void Eigen::internal::gemv_dense_selector<2, 0, false>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseUnaryOp<Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<stan::math::var_value<double>, -1, -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]'
  366 |       dest += (alpha*actual_rhs.coeff(k)) * lhs.col(k);
      |               ~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 0, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 0, 8, 8>, 0>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map<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>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map<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>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Householder/Householder.h:168:9:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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<const Eigen::Matrix<double, -1, -1> >, -1, 1, false> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:0:   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>]'
   37 |       _Hk.noalias() = ((1.0 / B0fact) * Hupd) * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Matrix<double, 1, -1> >, -1, 1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/normal_id_glm_lpdf.hpp:164:35:   required from 'stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = true; T_y = Eigen::Matrix<double, -1, 1>; T_x = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T_alpha = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; T_beta = Eigen::Matrix<var_value<double>, -1, 1>; T_scale = Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >; stan::require_matrix_t<T_x>* <anonymous> = 0; stan::return_type_t<T_y, T_x, T_alpha, T_beta, T_scale> = var_value<double>]'
  164 |         partials<3>(ops_partials) = mu_derivative.transpose() * x_val;
      |         ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false>; U = 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>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   57 |     arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<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, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<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, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<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, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<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, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<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, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<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, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<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, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<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, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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, false>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 4, 4, 1, 4, 4>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; U = Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, 1> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:354:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  354 |           lp_accum__.add(stan::math::normal_id_glm_lpdf<propto__>(
  355 |                            stan::math::to_vector(ycont), Z, Xb, gamma, sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
stanExports_mcml.h:464:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; VecR = std::vector<double>; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = double; std::ostream = std::basic_ostream<char>]'
  463 |                       lp_accum__.add(stan::math::bernoulli_logit_glm_lpmf<
  464 |                                        propto__>(yint, Z, Xb, gamma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::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>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:0:   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_mcml_namespace::model_mcml; bool jacobian = false]'
   56 |     lp = model.template log_prob<false, jacobian>(cont_vector, disc_vector,
   57 |                                                   &message);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:502:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  502 |       = stan::services::optimize::newton(model, *init_context_ptr,
  503 |                                          random_seed, id, init_radius,
  504 |                                          num_iterations,
  505 |                                          save_iterations,
  506 |                                          interrupt, logger,
  507 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   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, -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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, 1>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:48:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   48 |             arena_B.adj() += arena_A_val.transpose() * res_adj;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 1, 0, 8, 1>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 1, 0, 8, 1> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > > >, -1, -1, true>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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>, 0, Eigen::Stride<0, 0> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:123:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>& stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::operator=(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
  123 |     Base::operator=(a);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/arena_matrix.hpp:68:0:   required from 'stan::math::arena_matrix<MatrixType, typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type>::arena_matrix(const T&) [with T = Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 0>; stan::require_eigen_t<T>* <anonymous> = 0; MatrixType = Eigen::Matrix<double, -1, -1>; typename std::enable_if<stan::is_eigen_dense_base<typename std::decay<_Tp>::type>::value, void>::type = void; typename std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>]'
   68 |     *this = other;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/vari.hpp:722:0:   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>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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 std::decay<_Tp>::type = Eigen::Matrix<double, -1, -1>; typename stan::plain_type<T>::type = Eigen::Matrix<double, -1, -1>]'
  722 |       : val_(x),
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/var.hpp:366:0:   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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type>::var_value(S&&) [with S = const Eigen::Product<Eigen::TriangularView<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1>, Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> > >, 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) && std::is_floating_point<typename stan::value_type<T>::type>::value)>::value, void>::type = void; typename stan::value_type<T>::type = double]'
  366 |   var_value(S&& x) : vi_(new vari_type(std::forward<S>(x), false)) {}  // NOLINT
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply_lower_tri_self_transpose.hpp:27:0:   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]'
   27 |   arena_t<ret_type> res = arena_L_val.template triangularView<Eigen::Lower>()
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/cov_matrix_constrain.hpp:59:0:   required from here
   59 |   return multiply_lower_tri_self_transpose(L);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Map<Eigen::Matrix<double, 1, -1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:26:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1>, 1, -1, true>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = add_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1>, 1, -1, true>, 1, -1, false>; 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<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Product<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 0>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Transpose<Eigen::Matrix<double, -1, -1> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:38:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   38 |     arena_t<return_t> res = arena_A_val * arena_B_val;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 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> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:57:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   57 |     arena_t<return_t> res = arena_A * arena_B.val_op();
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<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, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<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, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<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, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<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, false> >, const Eigen::Block<const Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, -1, -1> >, const Eigen::Transpose<const Eigen::Matrix<double, -1, -1> > >, -1, -1, true>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:594:19:   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, -1, -1>]'
  594 |       _set_noalias(other);
      |       ~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:423:29:   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]'
  423 |       : Base(other.derived())
      |                             ^
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1>]'
   18 |   return std::forward<T>(a);
      |                           ^
D:/RCompile/CRANpkg/lib/4.6/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, T>* <anonymous> = 0; typename stan::value_type<T>::type = double]'
   27 |   const auto& M_ref = to_ref(M);
      |                       ~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   21 |   return tcrossprod(M.transpose());
      |          ~~~~~~~~~~^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/prim/prob/wishart_rng.hpp:34:19:   required from here
   34 |   return crossprod(B * llt_of_S.matrixU());
      |          ~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   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>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   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>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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, -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> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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, -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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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, -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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   78 |           rhs[i] -= (cjLhs.row(i).segment(s,k).transpose().cwiseProduct(Map<const Matrix<RhsScalar,Dynamic,1> >(rhs+s,k))).sum();
      |                     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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]'
   71 |     triangular_solve_vector<LhsScalar, RhsScalar, Index, Side, Mode, LhsProductTraits::NeedToConjugate,
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   72 |                             (int(Lhs::Flags) & RowMajorBit) ? RowMajor : ColMajor>
      |                             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
   73 |       ::run(actualLhs.cols(), actualLhs.data(), actualLhs.outerStride(), actualRhs);
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21:   [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:32:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:48:   required from 'static void Eigen::internal::triangular_product_impl<Mode, false, Lhs, true, Rhs, false>::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false>; int Mode = 5; 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]'
  194 |             ::run(rhs.transpose(),lhs.transpose(), dstT, alpha);
      |                                   ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:783:113:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>; SrcXprType = 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>, 2, Eigen::Stride<0, 0> > >; Functor = add_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1>, -1, 1, false>; 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::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::add_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, -1>, -1, 1, false>; Src = 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>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, -1>, -1, 1, false>; Src = 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>, 2, Eigen::Stride<0, 0> > >; Func = add_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18:   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::Map<Eigen::Matrix<double, -1, 1>, 2, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, 1, false>]'
  177 |   call_assignment(derived(), other.derived(), internal::add_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:296:25:   [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:372:102:   required from 'struct Eigen::internal::plain_object_eval<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  372 |   typedef typename plain_matrix_type_dense<T,typename traits<T>::XprKind, evaluator<T>::Flags>::type type;
      |                                                                                                      ^~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45:   required from 'struct Eigen::internal::generic_product_impl<Eigen::Matrix<double, -1, -1>, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::DenseShape, Eigen::DenseShape, 7>'
  370 |   typedef typename nested_eval<Rhs,1>::type RhsNested;
      |                                             ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:479:24:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::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]'
  478 |       return internal::generic_product_impl<Lhs,typename Rhs::ConstColXpr,DenseShape,DenseShape,GemvProduct>
      |              ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  479 |         ::scaleAndAddTo(dst_vec, a_lhs, a_rhs.col(0), alpha);
      |         ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:445:20:   required from 'static void Eigen::internal::generic_product_impl<Lhs, Rhs, Eigen::DenseShape, Eigen::DenseShape, 8>::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>]'
  445 |       scaleAndAddTo(dst, lhs, rhs, Scalar(1));
      |       ~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, 7>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:71:7:   required from 'class Eigen::Product<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, Eigen::Matrix<double, -1, -1>, 0>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:345:45:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, 1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, 1, -1, false> >, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:57:0:   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&, size_t, size_t) [with Sampler = stan::mcmc::adapt_dense_e_nuts<model_mcml_namespace::model_mcml, boost::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_mcml_namespace::model_mcml; 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> >; size_t = long long unsigned int]'
   57 |     sampler.init_stepsize(logger);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:97:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
   97 |   util::run_adaptive_sampler(
   98 |       sampler, model, cont_vector, num_warmup, num_samples, num_thin, refresh,
   99 |       save_warmup, rng, interrupt, logger, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:150:0:   required from 'int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml]'
  150 |   return hmc_nuts_dense_e_adapt(
  151 |       model, init, unit_e_metric, random_seed, chain, init_radius, num_warmup,
  152 |       num_samples, num_thin, save_warmup, refresh, stepsize, stepsize_jitter,
  153 |       max_depth, delta, gamma, kappa, t0, init_buffer, term_buffer, window,
  154 |       interrupt, logger, init_writer, sample_writer, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:638:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  637 |           return_code = stan::services::sample
  638 |             ::hmc_nuts_dense_e_adapt(model, *init_context_ptr,
  639 |                                      random_seed, id, init_radius,
  640 |                                      num_warmup, num_samples,
  641 |                                      num_thin, save_warmup, refresh,
  642 |                                      stepsize, stepsize_jitter, max_depth,
  643 |                                      delta, gamma, kappa,
  644 |                                      t0, init_buffer, term_buffer, window,
  645 |                                      interrupt, logger, init_writer,
  646 |                                      *sample_writer_ptr, diagnostic_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   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> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix<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>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/fun/multiply.hpp:68:0:   required from 'auto stan::math::multiply(const T1&, const T2&) [with T1 = Eigen::Map<Eigen::Matrix<double, -1, -1>, 0, Eigen::Stride<0, 0> >; T2 = Eigen::Matrix<var_value<double>, -1, 1>; stan::require_all_matrix_t<EigMat1, EigMat2>* <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]'
   68 |     arena_t<return_t> res = arena_A.val_op() * arena_B;
stanExports_mcml.h:363:0:   required from 'stan::scalar_type_t<T2> model_mcml_namespace::model_mcml::log_prob_impl(VecR&, VecI&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; VecR = std::vector<stan::math::var_value<double>, std::allocator<stan::math::var_value<double> > >; VecI = std::vector<int>; stan::require_vector_like_t<VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::scalar_type_t<T2> = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  363 |                                stan::math::multiply(Z, gamma)), sigma));
stanExports_mcml.h:760:0:   required from 'T_ model_mcml_namespace::model_mcml::log_prob(std::vector<T_l>&, std::vector<int>&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T_ = stan::math::var_value<double>; std::ostream = std::basic_ostream<char>]'
  760 |     return log_prob_impl<propto__, jacobian__>(params_r, params_i, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/log_prob_grad.hpp:40:0:   required from 'double stan::model::log_prob_grad(const M&, std::vector<double>&, std::vector<int>&, std::vector<double>&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mcml_namespace::model_mcml; std::ostream = std::basic_ostream<char>]'
   40 |     var adLogProb = model.template log_prob<propto, jacobian_adjust_transform>(
   41 |         ad_params_r, params_i, msgs);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1183:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::grad_log_prob(SEXP, SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1183 |       lp = stan::model::log_prob_grad<true,true>(model_, par_r, par_i, gradient, &rstan::io::rcout);
stanExports_mcml.cc:23:0:   required from here
   23 |     .method("grad_log_prob", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::grad_log_prob)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, false>, -1, -1, false>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:506:13:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:172:103:   required from 'class Eigen::internal::BlockImpl_dense<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   required from 'class Eigen::BlockImpl<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:103:81:   required from 'class Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  341 |       dest.head(diagSize) -= (lhs_alpha-LhsScalar(1))*rhs.head(diagSize);
      |                              ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Matrix<double, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  457 |         dst.topRows(diagSize) -= ((lhs_alpha-LhsScalar(1))*a_rhs).topRows(diagSize);
      |                                  ~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:74:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >; Rhs = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:120:7:   required from 'class Eigen::internal::dense_product_base<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, 8>'
  120 | class dense_product_base
      |       ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:152:7:   required from 'class Eigen::ProductImpl<Eigen::Matrix<double, -1, -1>, Eigen::Matrix<double, -1, -1>, 1, Eigen::Dense>'
  152 | class ProductImpl<Lhs,Rhs,Option,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
   71 | class Product : public ProductImpl<_Lhs,_Rhs,Option,
      |       ^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:462:68:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:329:7:   required from 'class Eigen::internal::BlockImpl_dense<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Func = sub_assign_op<double, double>; typename enable_if<(! evaluator_assume_aliasing<Src>::value), void*>::type = void*; typename evaluator_traits<SrcXprType>::Shape = Eigen::DenseShape]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Map<Eigen::Matrix<double, -1, 1>, 16, Eigen::Stride<0, 0> > >; Derived = Eigen::Block<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:153:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34:   required from 'class Eigen::MapBase<Eigen::Map<Eigen::Matrix<double, -1, 1>, 0, Eigen::InnerStride<> >, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MapBase.h:223:34:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:106:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:77:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7:   required from 'class Eigen::PlainObjectBase<Eigen::Matrix<double, 8, 8, 1, 8, 8> >'
   98 | class PlainObjectBase : public internal::dense_xpr_base<Derived>::type
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53:   required from 'class Eigen::Diagonal<Eigen::Matrix<double, 8, 8, 1, 8, 8>, 0>'
   63 | template<typename MatrixType, int _DiagIndex> class Diagonal
      |                                                     ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:153:32:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true> >, const Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; U = Eigen::Block<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Derived = Eigen::Block<const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, false> >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>; U = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, 1, 8, 8> >'
   60 | class CwiseNullaryOp : public internal::dense_xpr_base< CwiseNullaryOp<NullaryOp, PlainObjectType> >::type, internal::no_assignment_operator
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:347:30:   required from 'Derived& Eigen::DenseBase<Derived>::setConstant(const Scalar&) [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>; Scalar = double]'
  347 |   return derived() = Constant(rows(), cols(), val);
      |                      ~~~~~~~~^~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:548:10:   required from 'Derived& Eigen::DenseBase<Derived>::setZero() [with Derived = Eigen::Matrix<double, 8, 8, 1, 8, 8>]'
  548 |   return setConstant(Scalar(0));
      |          ^~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:151:29:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -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::Matrix<double, -1, -1> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::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::Matrix<double, -1, -1> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Block<const 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> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Block<const 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> >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -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::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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, true>; Src = 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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, true>; Src = 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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, true>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:462:32:   [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = true; Lhs = Eigen::Matrix<double, -1, -1, 1, -1, -1>; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:481:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, 2>'
  481 | class DenseCoeffsBase<Derived, DirectAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true>, 0>'
   37 | template<typename Derived> class MapBase<Derived, ReadOnlyAccessors>
      |                                  ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true, true>'
  329 | class BlockImpl_dense<XprType,BlockRows,BlockCols, InnerPanel,true>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Block.h:154:7:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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 = const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >; Rhs = Eigen::Matrix<double, -1, -1>; typename Dest::Scalar = double]'
  462 |         dst.leftCols(diagSize) -= (rhs_alpha-RhsScalar(1))*a_lhs.leftCols(diagSize);
      |                                   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:770:14:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   required from 'struct Eigen::internal::evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:357:7:   required from 'class Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> > >'
  357 | class redux_evaluator : public internal::evaluator<_XprType>
      |       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:414:17:   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_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false> >, const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, -1, 1, true> >; typename Eigen::internal::traits<T>::Scalar = double]'
  414 |   ThisEvaluator thisEval(derived());
      |                 ^~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Matrix<double, -1, -1>, 1, -1, false>, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long long int]':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, double>, const Eigen::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Block<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose<const Eigen::Block<const Eigen::Map<const Eigen::Matrix<double, -1, 1>, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits<T>::Scalar = double]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:114:   required from 'static void Eigen::internal::triangular_matrix_vector_product<Index, Mode, LhsScalar, ConjLhs, RhsScalar, ConjRhs, 1, Version>::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, ResScalar*, Index, const ResScalar&) [with Index = long long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; ResScalar = double]'
  137 |           res.coeffRef(i) += alpha * (cjLhs.row(i).segment(s,r).cwiseProduct(cjRhs.segment(s,r).transpose())).sum();
      |                                      ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12:   required from 'static void Eigen::internal::trmv_selector<Mode, 1>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, -1, false> >; Rhs = 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]'
  327 |     internal::triangular_matrix_vector_product
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  328 |       <Index,Mode,
      |       ~~~~~~~~~~~~
  329 |        LhsScalar, LhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  330 |        RhsScalar, RhsBlasTraits::NeedToConjugate,
      |        ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  331 |        RowMajor>
      |        ~~~~~~~~~
  332 |       ::run(actualLhs.rows(),actualLhs.cols(),
      |       ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  333 |             actualLhs.data(),actualLhs.outerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  334 |             actualRhsPtr,1,
      |             ~~~~~~~~~~~~~~~
  335 |             dest.data(),dest.innerStride(),
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  336 |             actualAlpha);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18:   [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1043:41:   required from 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
 1043 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   [ skipping 37 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 35 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:780:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = sub_assign_op<double, double>]'
  780 |   DstEvaluatorType dstEvaluator(dst);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; 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::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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   required from 'void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = 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::Transpose<const Eigen::CwiseBinaryOp<scalar_product_op<double, double>, const Eigen::CwiseNullaryOp<scalar_constant_op<double>, const Eigen::Matrix<double, 1, -1> >, const Eigen::Transpose<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<const 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<const Eigen::Block<const Eigen::Block<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block<Eigen::Transpose<Eigen::Block<Eigen::Block<Eigen::Matrix<double, -1, -1, 1, -1, -1>, 1, -1, true>, 1, -1, false> >, -1, 1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Func = sub_assign_op<double, double>]'
  890 |   Assignment<ActualDstTypeCleaned,Src,Func>::run(actualDst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:858:27:   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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -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]'
  858 |   call_assignment_no_alias(dst, src, func);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false>]'
  164 |   call_assignment(derived(), other.derived(), internal::sub_assign_op<Scalar,typename OtherDerived::Scalar>());
      |   ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:457:31:   [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of 'struct Eigen::internal::evaluator<Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1, -1> >, const Eigen::Block<const Eigen::Transpose<const Eigen::Block<Eigen::Matrix<double, -1, -1>, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:606:52:   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>::Lhs>::Scalar = double; typename Eigen::Product<Lhs, Rhs, 1>::Lhs = Eigen::Matrix<double, -1, -1>; 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>; CoeffReturnType = double; Eigen::Index = long long int]'
  606 |     return (m_lhs.row(row).transpose().cwiseProduct( m_rhs.col(col) )).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:654:63:   [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:0:   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>]'
   40 |       _Hk = Hupd * _Hk * Hupd.transpose();
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/bfgs.hpp:246:0:   required from 'int stan::optimization::BFGSMinimizer<FunctorType, QNUpdateType, Scalar, DimAtCompile>::step() [with FunctorType = stan::optimization::ModelAdaptor<model_mcml_namespace::model_mcml, false>; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]'
  246 |       Scalar B0fact = _qn.update(yk, sk, true);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:0:   required from 'int stan::services::optimize::bfgs(Model&, const stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mcml_namespace::model_mcml; bool jacobian = false]'
  117 |     ret = bfgs.step();
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:517:0:   required from 'int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector<long long unsigned int>&, const std::vector<std::__cxx11::basic_string<char> >&, RNG_t&) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Rcpp::List = Rcpp::Vector<19>]'
  517 |         = stan::services::optimize::bfgs(model, *init_context_ptr,
  518 |                                          random_seed, id, init_radius,
  519 |                                          init_alpha,
  520 |                                          tol_obj,
  521 |                                          tol_rel_obj,
  522 |                                          tol_grad,
  523 |                                          tol_rel_grad,
  524 |                                          tol_param,
  525 |                                          num_iterations,
  526 |                                          save_iterations,
  527 |                                          refresh,
  528 |                                          interrupt, logger,
  529 |                                          init_writer, sample_writer);
D:/RCompile/CRANpkg/lib/4.6/rstan/include/rstan/stan_fit.hpp:1215:0:   required from 'SEXPREC* rstan::stan_fit<Model, RNG_t>::call_sampler(SEXP) [with Model = model_mcml_namespace::model_mcml; RNG_t = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; SEXP = SEXPREC*]'
 1215 |     ret = command(args, model_, holder, names_oi_tidx_,
 1216 |                   fnames_oi_, base_rng);
stanExports_mcml.cc:15:0:   required from here
   15 |     .method("call_sampler", &rstan::stan_fit<stan_model, boost::ecuyer1988> ::call_sampler)
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>, -1, -1, false> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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, -1, -1> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1, 1, -1, -1>, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >, -1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Block<const Eigen::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:78:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                                                              ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> > >'
  722 | struct evaluator<CwiseBinaryOp<BinaryOp, Lhs, Rhs> >
      |        ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:774:20:   required from 'void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block<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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = sub_assign_op<double, double>]'
  774 |   SrcEvaluatorType srcEvaluator(src);
      |                    ^~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:954:31:   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::Transpose<const Eigen::Matrix<double, -1, -1, 1, -1, -1> >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op<double, double>; Weak = void]'
  954 |     call_dense_assignment_loop(dst, src, func);
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:890:49:   [ skipping 26 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Matrix.h: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]'
  238 |       return Base::operator=(other);
      |              ~~~~~~~~~~~~~~~^~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:453:11:   required from 'static void Eigen::internal::tridiagonalization_inplace_selector<MatrixType, Size, IsComplex>::run(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; MatrixType = Eigen::Matrix<double, -1, -1>; int Size = -1; bool IsComplex = false; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  453 |       mat = HouseholderSequenceType(mat, hCoeffs.conjugate())
      |       ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  454 |             .setLength(mat.rows() - 1)
      |             ~~~~~~~~~~~~~~~~~~~~~~~~~~
  455 |             .setShift(1);
      |             ~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:434:55:   required from 'void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, CoeffVectorType&, bool) [with MatrixType = Eigen::Matrix<double, -1, -1>; DiagonalType = Eigen::Matrix<double, -1, 1>; SubDiagonalType = Eigen::Matrix<double, -1, 1>; CoeffVectorType = Eigen::Matrix<double, -1, 1>]'
  434 |   tridiagonalization_inplace_selector<MatrixType>::run(mat, diag, subdiag, hcoeffs, extractQ);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:458:39:   required from 'Eigen::SelfAdjointEigenSolver<MatrixType>& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  458 |   internal::tridiagonalization_inplace(mat, diag, m_subdiag, m_hcoeffs, computeEigenvectors);
      |   ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:181:14:   required from 'Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase<OtherDerived>&, int) [with InputType = Eigen::Matrix<double, -1, -1>; _MatrixType = Eigen::Matrix<double, -1, -1>]'
  181 |       compute(matrix.derived(), options);
      |       ~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/optimization/newton.hpp:19:0:   required from here
   19 |   Eigen::SelfAdjointEigenSolver<matrix_d> solver(H);
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:302:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 1>'
  302 | class DenseCoeffsBase<Derived, WriteAccessors> : public DenseCoeffsBase<Derived, ReadOnlyAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:555:7:   required from 'class Eigen::DenseCoeffsBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >, 3>'
  555 | class DenseCoeffsBase<Derived, DirectWriteAccessors>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34:   required from 'class Eigen::ArrayBase<Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > > >'
   39 | template<typename Derived> class ArrayBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:103:7:   required from 'class Eigen::CwiseUnaryViewImpl<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> >, Eigen::Dense>'
  103 | class CwiseUnaryViewImpl<ViewOp,MatrixType,Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7:   required from 'class Eigen::CwiseUnaryView<Eigen::ArrayBase<Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >::adj_Op, Eigen::Map<Eigen::Array<stan::math::var_value<double>, -1, 1, 0, -1, 1>, 0, Eigen::Stride<0, 0> > >'
   58 | class CwiseUnaryView : public CwiseUnaryViewImpl<ViewOp, MatrixType, typename internal::traits<MatrixType>::StorageKind>
      |       ^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0:   recursively required from 'void stan::math::internal::callback_vari<T, F>::chain() [with T = double; F = stan::math::sum<arena_allocator<var_value<double> > >(const std::vector<var_value<double>, arena_allocator<var_value<double> > >&)::<lambda(auto:510&)>]'
   21 |   inline void chain() final { rev_functor_(*this); }
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/stan/math/rev/core/callback_vari.hpp:21:0:   required from here
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   21 |     return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0:   required from here
   20 |   double T(diag_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
stanExports_mcml.h: In instantiation of 'void model_mcml_namespace::model_mcml::write_array_impl(RNG&, VecR&, VecI&, VecVar&, 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> >; VecR = Eigen::Matrix<double, -1, 1>; VecI = std::vector<int>; VecVar = Eigen::Matrix<double, -1, 1>; stan::require_vector_like_vt<std::is_floating_point, VecR>* <anonymous> = 0; stan::require_vector_like_vt<std::is_integral, VecI>* <anonymous> = 0; stan::require_vector_vt<std::is_floating_point, VecVar>* <anonymous> = 0; std::ostream = std::basic_ostream<char>]':
stanExports_mcml.h:733:0:   required from 'void model_mcml_namespace::model_mcml::write_array(RNG&, Eigen::Matrix<double, -1, 1>&, Eigen::Matrix<double, -1, 1>&, 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>]'
  733 |     write_array_impl(base_rng, params_r, params_i, vars,
  734 |       emit_transformed_parameters, emit_generated_quantities, pstream);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/model_base_crtp.hpp:140:0:   required from 'void stan::model::model_base_crtp<M>::write_array(boost::random::ecuyer1988&, Eigen::VectorXd&, Eigen::VectorXd&, bool, bool, std::ostream*) const [with M = model_mcml_namespace::model_mcml; boost::random::ecuyer1988 = boost::random::additive_combine_engine<boost::random::linear_congruential_engine<unsigned int, 40014, 0, 2147483563>, boost::random::linear_congruential_engine<unsigned int, 40692, 0, 2147483399> >; Eigen::VectorXd = Eigen::Matrix<double, -1, 1>; std::ostream = std::basic_ostream<char>]'
  140 |     return static_cast<const M*>(this)->write_array(
  141 |         rng, theta, vars, include_tparams, include_gqs, msgs);
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/model/model_base_crtp.hpp:136:0:   required from here
  136 |   void write_array(boost::ecuyer1988& rng, Eigen::VectorXd& theta,
stanExports_mcml.h:584: warning: unused variable 'jacobian__' [-Wunused-variable]
  584 |     constexpr bool jacobian__ = false;
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                          ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/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> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/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> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> > >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
   37 |     return a.template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:0:   required from 'double stan::mcmc::diag_e_metric<Model, BaseRNG>::T(stan::mcmc::diag_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   21 |     return 0.5 * z.p.dot(z.inv_e_metric_.cwiseProduct(z.p));
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:0:   required from here
   20 |   double T(diag_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = 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> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = 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]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, 0>':
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, false>'
  172 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel, bool HasDirectAccess> class BlockImpl_dense
      |                                                                                                       ^~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true, Eigen::Dense>'
  154 | class BlockImpl<XprType, BlockRows, BlockCols, InnerPanel, Dense>
      |       ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>'
  103 | template<typename XprType, int BlockRows, int BlockCols, bool InnerPanel> class Block
      |                                                                                 ^~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:43:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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/4.6/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> > > > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   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>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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> > > >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:207:43:   required from 'static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp<Eigen::internal::scalar_product_op<double, 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]'
  207 |       ::run(rhs.transpose(), lhs.transpose(), destT, alpha);
      |                              ~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:388:34:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of 'class Eigen::DenseCoeffsBase<Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, 0>':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34:   required from 'class Eigen::DenseBase<Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34:   required from 'class Eigen::MatrixBase<Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:118:37:   required from 'class Eigen::TransposeImpl<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>, Eigen::Dense>'
  118 | template<typename MatrixType> class TransposeImpl<MatrixType,Dense>
      |                                     ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37:   required from 'class Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
   52 | template<typename MatrixType> class Transpose
      |                                     ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:23:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Transpose<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/4.6/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::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   41 | template<typename Derived> class DenseBase
      |                                  ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >'
   48 | template<typename Derived> class MatrixBase
      |                                  ^~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7:   required from 'class Eigen::CwiseBinaryOpImpl<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>, Eigen::Dense>'
  148 | class CwiseBinaryOpImpl
      |       ^~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7:   required from 'class Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >'
   77 | class CwiseBinaryOp :
      |       ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:56:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:84:58:   [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:56:30: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
   56 |                      >::type PacketReturnType;
      |                              ^~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >':
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:311:41:   required from 'struct Eigen::internal::unary_evaluator<Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>'
  311 |     CoeffReadCost = evaluator<ArgType>::CoeffReadCost,
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8:   required from 'struct Eigen::internal::evaluator<Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
   90 | struct evaluator : public unary_evaluator<T>
      |        ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:100:8:   required from 'struct Eigen::internal::evaluator<const Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> > >'
  100 | struct evaluator<const T>
      |        ^~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:739:41:   required from 'struct Eigen::internal::binary_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Transpose<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>'
  739 |     CoeffReadCost = int(evaluator<Lhs>::CoeffReadCost) + int(evaluator<Rhs>::CoeffReadCost) + int(functor_traits<BinaryOp>::Cost),
      |                                         ^~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:722:8:   [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1071:54: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
 1071 |     PacketAlignment = unpacket_traits<PacketScalar>::alignment,
      |                                                      ^~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Transpose<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/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:243:63:   required from 'static Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::Scalar Eigen::internal::redux_impl<Func, Evaluator, 3, 0>::run(const Evaluator&, const Func&, const XprType&) [with XprType = Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> >; Func = Eigen::internal::scalar_sum_op<double, double>; Evaluator = Eigen::internal::redux_evaluator<Eigen::CwiseBinaryOp<Eigen::internal::scalar_conj_product_op<double, double>, const Eigen::Transpose<const 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true> >, const Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true> > >; Scalar = double]'
  243 |     const Index alignedStart = internal::first_default_aligned(xpr);
      |                                ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~
D:/RCompile/CRANpkg/lib/4.6/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::Transpose<const 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::Transpose<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]'
  418 |   return internal::redux_impl<Func, ThisEvaluator>::run(thisEval, func, derived());
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Redux.h:463:25:   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::Transpose<const 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::Transpose<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]'
  463 |   return derived().redux(Eigen::internal::scalar_sum_op<Scalar,Scalar>());
      |          ~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Dot.h:50:63:   required from 'static Eigen::internal::dot_nocheck<T, U, true>::ResScalar Eigen::internal::dot_nocheck<T, U, true>::run(const Eigen::MatrixBase<Derived>&, const Eigen::MatrixBase<U>&) [with T = 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; U = Eigen::Block<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; ResScalar = double]'
   50 |     return a.transpose().template binaryExpr<conj_prod>(b).sum();
      |            ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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<const Eigen::Matrix<double, -1, -1>, -1, 1, true>; Derived = 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::Transpose<Eigen::Matrix<double, -1, 1> > >, 1, -1, true>; typename Eigen::ScalarBinaryOpTraits<typename Eigen::internal::traits<T>::Scalar, typename Eigen::internal::traits<OtherDerived>::Scalar>::ReturnType = double; typename Eigen::internal::traits<T>::Scalar = double; typename Eigen::internal::traits<OtherDerived>::Scalar = double]'
   84 |   return internal::dot_nocheck<Derived,OtherDerived>::run(*this, other);
      |          ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:380:62:   [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ]
D:/RCompile/CRANpkg/lib/4.6/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>]'
  251 |     dst.coeffRef(0,0) = (lhs.transpose().cwiseProduct(rhs)).sum();
      |                         ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~
D:/RCompile/CRANpkg/lib/4.6/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>::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>; 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>; 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>]'
  124 |     generic_product_impl<Lhs, Rhs, LhsShape, RhsShape, ProductTag>::evalTo(m_result, xpr.lhs(), xpr.rhs());
      |     ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/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>]'
   35 |   EIGEN_DEVICE_FUNC EIGEN_STRONG_INLINE explicit evaluator(const XprType& xpr) : Base(xpr) {}
      |                                                                                          ^
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/Product.h:137:22:   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]'
  137 |     return internal::evaluator<ProductXpr>(derived()).coeff(0,0);
      |                      ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:0:   required from 'double stan::mcmc::dense_e_metric<Model, BaseRNG>::T(stan::mcmc::dense_e_point&) [with Model = model_mcml_namespace::model_mcml; 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> >]'
   22 |     return 0.5 * z.p.transpose() * z.inv_e_metric_ * z.p;
D:/RCompile/CRANpkg/lib/4.6/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:21:0:   required from here
   21 |   double T(dense_e_point& z) {
D:/RCompile/CRANpkg/lib/4.6/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:654:74: warning: ignoring attributes on template argument 'Eigen::internal::packet_traits<double>::type' {aka '__m128d'} [-Wignored-attributes]
  654 |   return internal::first_aligned<int(unpacket_traits<DefaultPacketType>::alignment),Derived>(m);
      |                                                                          ^~~~~~~~~
g++ -shared -s -static-libgcc -o glmmrBase.dll tmp.def RcppExports.o model_module.o stanExports_mcml.o -LD:/RCompile/CRANpkg/lib/4.6/RcppParallel/libs/x64 -lRcppParallel -LD:/RCompile/CRANpkg/lib/4.6/RcppParallel/lib/x64 -ltbb -ltbbmalloc -LD:/RCompile/CRANpkg/lib/4.6/RcppParallel/lib/x64 -Wl,-rpath,D:/RCompile/CRANpkg/lib/4.6/RcppParallel/lib/x64 -ltbb -ltbbmalloc -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib/x64 -Ld:/rtools45/x86_64-w64-mingw32.static.posix/lib -LD:/RCompile/recent/R/bin/x64 -lR
installing to d:/RCompile/CRANincoming/R-devel/lib/00LOCK-glmmrBase/00new/glmmrBase/libs/x64
** R
** data
*** moving datasets to lazyload DB
** inst
** byte-compile and prepare package for lazy loading
** help
*** installing help indices
** building package indices
** testing if installed package can be loaded from temporary location
** testing if installed package can be loaded from final location
** testing if installed package keeps a record of temporary installation path
* DONE (glmmrBase)